A multi-innovation state and parameter estimation algorithm for a state space system with d-step state-delay
•Study the state and parameter estimation problem of state-delay systems.•Present a joint multi-innovation state and parameter estimation algorithm.•Expand the scalar innovation in the gradient algorithm into an innovation vector.•Use the multi-innovation identification theory the state observer. Th...
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| Published in: | Signal processing Vol. 140; pp. 97 - 103 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
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Elsevier B.V
01.11.2017
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| ISSN: | 0165-1684, 1872-7557 |
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| Abstract | •Study the state and parameter estimation problem of state-delay systems.•Present a joint multi-innovation state and parameter estimation algorithm.•Expand the scalar innovation in the gradient algorithm into an innovation vector.•Use the multi-innovation identification theory the state observer.
This paper considers the state and parameter estimation problem of a state-delay system. On the basis of the stochastic gradient algorithm (i.e., the gradient based search estimation algorithm), this work extends the scalar innovation into an innovation vector and presents a multi-innovation gradient parameter estimation algorithm for a state-space system with d-step state-delay by means of the multi-innovation identification theory. For thesystems whose states are unknown, we use the states of the state observer for the parameter estimation and use the estimated parameters for the state estimation. This forms a joint multi-innovation state and parameter estimation algorithm for the state-delay systems with immeasurable states. The simulation results indicate that the proposed algorithms can work well. |
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| AbstractList | •Study the state and parameter estimation problem of state-delay systems.•Present a joint multi-innovation state and parameter estimation algorithm.•Expand the scalar innovation in the gradient algorithm into an innovation vector.•Use the multi-innovation identification theory the state observer.
This paper considers the state and parameter estimation problem of a state-delay system. On the basis of the stochastic gradient algorithm (i.e., the gradient based search estimation algorithm), this work extends the scalar innovation into an innovation vector and presents a multi-innovation gradient parameter estimation algorithm for a state-space system with d-step state-delay by means of the multi-innovation identification theory. For thesystems whose states are unknown, we use the states of the state observer for the parameter estimation and use the estimated parameters for the state estimation. This forms a joint multi-innovation state and parameter estimation algorithm for the state-delay systems with immeasurable states. The simulation results indicate that the proposed algorithms can work well. |
| Author | Ding, Feng Xu, Ling Alsaedi, Ahmed Hayat, Tasawar Gu, Ya |
| Author_xml | – sequence: 1 givenname: Ling surname: Xu fullname: Xu, Ling organization: Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, PR China – sequence: 2 givenname: Feng surname: Ding fullname: Ding, Feng email: fding@jiangnan.edu.cn organization: Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, PR China – sequence: 3 givenname: Ya surname: Gu fullname: Gu, Ya organization: Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, PR China – sequence: 4 givenname: Ahmed surname: Alsaedi fullname: Alsaedi, Ahmed organization: Nonlinear Analysis and Applied Mathematics (NAAM) Research Group, Department of Mathematics, King Abdulaziz University, Jeddah 21589, Saudi Arabia – sequence: 5 givenname: Tasawar surname: Hayat fullname: Hayat, Tasawar organization: Nonlinear Analysis and Applied Mathematics (NAAM) Research Group, Department of Mathematics, King Abdulaziz University, Jeddah 21589, Saudi Arabia |
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| Cites_doi | 10.1016/j.automatica.2016.01.057 10.1049/iet-cta.2015.1195 10.1007/s11071-015-2548-5 10.1016/j.cam.2016.01.042 10.1016/j.sigpro.2015.05.010 10.1016/j.dsp.2007.05.003 10.1016/j.aml.2015.12.018 10.1016/j.neucom.2015.09.034 10.1007/s11071-014-1801-7 10.1109/LGRS.2015.2507623 10.1016/j.measurement.2016.01.046 10.1016/j.sysconle.2011.03.008 10.1016/j.isatra.2015.11.018 10.1016/j.ymssp.2015.10.015 10.1016/j.jfranklin.2015.09.007 10.1016/j.automatica.2016.09.024 10.1007/s00034-014-9916-0 10.1049/iet-cta.2016.0491 10.1016/j.jfranklin.2016.02.013 10.1016/j.dsp.2015.10.017 10.1007/s00034-013-9704-2 10.1109/TAC.2015.2465091 10.1016/j.automatica.2016.05.024 10.1016/j.jprocont.2011.07.007 10.1016/j.sigpro.2015.10.009 10.1016/j.cam.2015.03.057 10.1016/j.sigpro.2014.08.011 10.1016/j.jfranklin.2016.11.030 10.1049/iet-cta.2016.0202 10.1109/TCYB.2015.2459719 10.1016/j.dsp.2015.07.008 10.1016/j.automatica.2014.10.053 10.1016/j.sigpro.2016.03.027 10.1109/TCYB.2014.2308983 10.1049/iet-spr.2013.0076 10.1016/j.jfranklin.2015.10.025 |
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| References | Li, Yan, Shi (bib0003) 2016; 75 Wan, Li, Xia, Wu, Liang, Wang (bib0029) 2016; 86 Xu (bib0034) 2014; 236 Su, Wu, Shi, Song (bib0006) 2014; 50 Su, Shi, Wu, Song (bib0007) 2016; 61 Wang, Shen (bib0035) 2011; 218 Li, Shi, Yan (bib0005) 2016; 68 Pan, Yang, Cai, Mu (bib0028) 2016; 173 Feng, Wu, Li (bib0043) 2016; 13 Wang, Ding (bib0018) 2016; 84 Ding, Liu, Liu (bib0019) 2016; 353 Wang, Ding (bib0016) 2016; 128 Ding, Xu, Zhu (bib0020) 2016; 10 Ding, Liu, Ma (bib0033) 2016; 301 Goodwin, Sin (bib0001) 1984 Xu, Chen, Xiong (bib0010) 2015; 79 Chen, Xiao (bib0012) 2014; 247 Gu, Ding, Li (bib0026) 2014; 8 Irshad, Salman, Bashir, Malik (bib0025) 2016; 49 Zhu (bib0031) 2012; 22 Li, Sun (bib0036) 2015; 46 Wang, Zhang (bib0009) 2015; 352 Ji, Liu (bib0042) 2015; 34 Wang, Qi, Xu (bib0044) 2016; 60 Wang, Wu, Ni (bib0045) 2016; 72–73 Ding, Liu, Gu (bib0032) 2016; 353 Xu (bib0013) 2015; 288 Malik, Salman (bib0024) 2008; 18 Gu, Ding, Li (bib0040) 2015; 106 Golub, Van Loan (bib0041) 1996 Wang, Ding (bib0027) 2015; 117 Wang, Ding (bib0014) 2016; 71 Gu, Ding (bib0039) 2014 Gao, Fei (bib0037) 2012; 219 Li, Shi, Yan (bib0004) 2016; 46 Ding, Wang, Xu, Wu (bib0022) 2017; 354 Li, Zhang, Qin (bib0038) 2011; 217 Xu (bib0011) 2016; 120 Wang, Ding (bib0015) 2016; 10 Wang (bib0017) 2016; 57 Ljung (bib0002) 1999 Guo, Zhao (bib0030) 2011; 60 Su, Shi, Wu, Basin (bib0008) 2014; 44 Ding, Wang, Xu, Hayat, Alsaedi (bib0021) 2017; 11 Ding, Lin (bib0023) 2014; 33 Wang (10.1016/j.sigpro.2017.05.006_bib0016) 2016; 128 Wang (10.1016/j.sigpro.2017.05.006_bib0014) 2016; 71 Zhu (10.1016/j.sigpro.2017.05.006_bib0031) 2012; 22 Ding (10.1016/j.sigpro.2017.05.006_bib0021) 2017; 11 Xu (10.1016/j.sigpro.2017.05.006_bib0013) 2015; 288 Gao (10.1016/j.sigpro.2017.05.006_bib0037) 2012; 219 Ding (10.1016/j.sigpro.2017.05.006_bib0022) 2017; 354 Li (10.1016/j.sigpro.2017.05.006_bib0003) 2016; 75 Li (10.1016/j.sigpro.2017.05.006_bib0036) 2015; 46 Golub (10.1016/j.sigpro.2017.05.006_bib0041) 1996 Ji (10.1016/j.sigpro.2017.05.006_bib0042) 2015; 34 Xu (10.1016/j.sigpro.2017.05.006_bib0010) 2015; 79 Chen (10.1016/j.sigpro.2017.05.006_bib0012) 2014; 247 Ding (10.1016/j.sigpro.2017.05.006_bib0020) 2016; 10 Irshad (10.1016/j.sigpro.2017.05.006_bib0025) 2016; 49 Guo (10.1016/j.sigpro.2017.05.006_bib0030) 2011; 60 Goodwin (10.1016/j.sigpro.2017.05.006_bib0001) 1984 Li (10.1016/j.sigpro.2017.05.006_bib0004) 2016; 46 Malik (10.1016/j.sigpro.2017.05.006_bib0024) 2008; 18 Su (10.1016/j.sigpro.2017.05.006_bib0006) 2014; 50 Ding (10.1016/j.sigpro.2017.05.006_bib0032) 2016; 353 Wang (10.1016/j.sigpro.2017.05.006_bib0035) 2011; 218 Wang (10.1016/j.sigpro.2017.05.006_bib0045) 2016; 72–73 Ding (10.1016/j.sigpro.2017.05.006_bib0023) 2014; 33 Feng (10.1016/j.sigpro.2017.05.006_bib0043) 2016; 13 Ljung (10.1016/j.sigpro.2017.05.006_bib0002) 1999 Gu (10.1016/j.sigpro.2017.05.006_bib0026) 2014; 8 Wang (10.1016/j.sigpro.2017.05.006_bib0044) 2016; 60 Ding (10.1016/j.sigpro.2017.05.006_bib0019) 2016; 353 Gu (10.1016/j.sigpro.2017.05.006_bib0040) 2015; 106 Pan (10.1016/j.sigpro.2017.05.006_bib0028) 2016; 173 Wang (10.1016/j.sigpro.2017.05.006_bib0017) 2016; 57 Wang (10.1016/j.sigpro.2017.05.006_bib0027) 2015; 117 Su (10.1016/j.sigpro.2017.05.006_bib0008) 2014; 44 Ding (10.1016/j.sigpro.2017.05.006_bib0033) 2016; 301 Li (10.1016/j.sigpro.2017.05.006_bib0038) 2011; 217 Wang (10.1016/j.sigpro.2017.05.006_bib0018) 2016; 84 Xu (10.1016/j.sigpro.2017.05.006_bib0011) 2016; 120 Li (10.1016/j.sigpro.2017.05.006_bib0005) 2016; 68 Su (10.1016/j.sigpro.2017.05.006_bib0007) 2016; 61 Gu (10.1016/j.sigpro.2017.05.006_bib0039) 2014 Xu (10.1016/j.sigpro.2017.05.006_bib0034) 2014; 236 Wang (10.1016/j.sigpro.2017.05.006_bib0009) 2015; 352 Wang (10.1016/j.sigpro.2017.05.006_bib0015) 2016; 10 Wan (10.1016/j.sigpro.2017.05.006_bib0029) 2016; 86 |
| References_xml | – year: 1999 ident: bib0002 article-title: System Identification: Theory for the User – volume: 50 start-page: 3268 year: 2014 end-page: 3275 ident: bib0006 article-title: A novel approach to output feedback control of fuzzy stochastic systems publication-title: Automatica – volume: 10 start-page: 2506 year: 2016 end-page: 2514 ident: bib0020 article-title: Performance analysis of the generalised projection identification for time-varying systems publication-title: IET Control Theory Appl. – volume: 288 start-page: 33 year: 2015 end-page: 43 ident: bib0013 article-title: Application of the Newton iteration algorithm to the parameter estimation for dynamical systems publication-title: J. Comput. Appl. Math. – volume: 49 start-page: 95 year: 2016 end-page: 103 ident: bib0025 article-title: Extended state space recursive least squares publication-title: Digital Signal Process. – volume: 8 start-page: 639 year: 2014 end-page: 646 ident: bib0026 article-title: State filtering and parameter estimation for linear systems with d-step state-delay publication-title: IET Signal Process. – year: 1996 ident: bib0041 article-title: Matrix Computations – volume: 46 start-page: 2019 year: 2016 end-page: 2027 ident: bib0004 article-title: On neighbor information utilization in distributed receding horizon control for consensus-seeking publication-title: IEEE Trans. Cybern. – volume: 354 start-page: 1321 year: 2017 end-page: 1339 ident: bib0022 article-title: Decomposition based least squares iterative identification algorithm for multivariate pseudo-linear ARMA systems using the data filtering publication-title: J. Franklin Inst. – volume: 84 start-page: 1045 year: 2016 end-page: 1053 ident: bib0018 article-title: Recursive least squares algorithm and gradient algorithm for Hammerstein–Wiener systems using the data filtering publication-title: Nonlinear Dyn. – volume: 117 start-page: 208 year: 2015 end-page: 218 ident: bib0027 article-title: Recursive parameter and state estimation for an input nonlinear state space system using the hierarchical identification principle publication-title: Signal Process. – volume: 219 start-page: 552 year: 2012 end-page: 568 ident: bib0037 article-title: A novel artificial bee colony algorithm with space contraction for unknown parameters identification and time-delays of chaotic systems publication-title: Appl. Math. Comput. – volume: 352 start-page: 5292 year: 2015 end-page: 5370 ident: bib0009 article-title: Improved least squares identification algorithm for multivariable Hammerstein systems publication-title: J. Franklin Inst. – volume: 217 start-page: 9173 year: 2011 end-page: 9181 ident: bib0038 article-title: LDG method for reaction-diffusion dynamical systems with time delay publication-title: Appl. Math. Comput. – volume: 34 start-page: 1499 year: 2015 end-page: 1517 ident: bib0042 article-title: Unified synchronization criteria for hybrid switching-impulsive dynamical networks publication-title: Circuits Syst. Signal Process. – volume: 13 start-page: 237 year: 2016 end-page: 241 ident: bib0043 article-title: Array factor forming for image reconstruction of one-dimensional nonuniform aperture synthesis radiometers publication-title: IEEE Geosci. Remote Sens. Lett. – volume: 33 start-page: 1439 year: 2014 end-page: 1449 ident: bib0023 article-title: Modified subspace identification for periodically non-uniformly sampled systems by using the lifting technique publication-title: Circuits Syst. Signal Process. – volume: 301 start-page: 135 year: 2016 end-page: 143 ident: bib0033 article-title: Kalman state filtering based least squares iterative parameter estimation for observer canonical state space systems using decomposition publication-title: J. Comput. Appl. Math. – volume: 44 start-page: 2470 year: 2014 end-page: 2483 ident: bib0008 article-title: Reliable filtering with strict dissipativity for t-s fuzzy time-delay systems publication-title: IEEE Trans. Cybern. – volume: 22 start-page: 296 year: 2012 end-page: 302 ident: bib0031 article-title: State estimation and unknown input reconstruction via both reduced-order and high-order sliding mode observers publication-title: J. Process Control – volume: 60 start-page: 156 year: 2016 end-page: 163 ident: bib0044 article-title: Fault diagnosis method based on FFT-RPCA-SVM for cascaded-multilevel inverter publication-title: ISA Trans. – volume: 236 start-page: 391 year: 2014 end-page: 399 ident: bib0034 article-title: A proportional differential control method for a time-delay system using the taylor expansion approximation publication-title: Appl. Math. Comput. – volume: 106 start-page: 294 year: 2015 end-page: 300 ident: bib0040 article-title: States based iterative parameter estimation for a state space model with multi-state delays using decomposition publication-title: Signal Process. – volume: 18 start-page: 334 year: 2008 end-page: 345 ident: bib0024 article-title: State-space least mean square publication-title: Digital Signal Process. – volume: 79 start-page: 2155 year: 2015 end-page: 2163 ident: bib0010 article-title: Parameter estimation and controller design for dynamic systems from the step responses based on the Newton iteration publication-title: Nonlinear Dyn. – volume: 11 start-page: 390 year: 2017 end-page: 400 ident: bib0021 article-title: Parameter estimation for pseudo-linear systems using the auxiliary model and the decomposition technique publication-title: IET Control Theory Appl. – year: 1984 ident: bib0001 article-title: Adaptive Filtering Prediction and Control – start-page: 1924 year: 2014 end-page: 1928 ident: bib0039 article-title: Stochastic gradient algorithm for state space system with d-step delay publication-title: The 2014 26th Chinese Control and Decision Conference, May 31 – June 2 – volume: 86 start-page: 93 year: 2016 end-page: 100 ident: bib0029 article-title: A T-wave alternans assessment method based on least squares curve fitting technique publication-title: Measurement – volume: 353 start-page: 1518 year: 2016 end-page: 1526 ident: bib0019 article-title: The recursive least squares identification algorithm for a class of Wiener nonlinear systems publication-title: J. Franklin Inst. – volume: 75 start-page: 144 year: 2016 end-page: 153 ident: bib0003 article-title: Continuous-time model predictive control of under-actuated spacecraft with bounded control torques publication-title: Automatica – volume: 68 start-page: 148 year: 2016 end-page: 154 ident: bib0005 article-title: Distributed receding horizon control of constrained nonlinear vehicle formations with guaranteed publication-title: Automatica – volume: 46 start-page: 59 year: 2015 end-page: 67 ident: bib0036 article-title: H-infinity filtering for networked linear systems with multiple packet dropouts and random delays publication-title: Digital Signal Process. – volume: 72–73 start-page: 328 year: 2016 end-page: 345 ident: bib0045 article-title: An adaptive confidence limit for periodic non-steady conditions fault detection publication-title: Mech. Syst. Signal Process. – volume: 173 start-page: 1625 year: 2016 end-page: 1629 ident: bib0028 article-title: Image noise smoothing using a modified Kalman filter publication-title: Neurocomputing – volume: 218 start-page: 2880 year: 2011 end-page: 2888 ident: bib0035 article-title: Improved delay-dependent robust stability criteria for uncertain time delay systems publication-title: Appl. Math. Comput. – volume: 60 start-page: 420 year: 2011 end-page: 430 ident: bib0030 article-title: On the convergence of an extended state observer for nonlinear systems with uncertainty publication-title: Syst. Control Lett. – volume: 71 start-page: 308 year: 2016 end-page: 313 ident: bib0014 article-title: Novel data filtering based parameter identification for multiple-input multiple-output systems using the auxiliary model publication-title: Automatica – volume: 120 start-page: 660 year: 2016 end-page: 667 ident: bib0011 article-title: The damping iterative parameter identification method for dynamical systems based on the sine signal measurement publication-title: Signal Process. – volume: 353 start-page: 398 year: 2016 end-page: 408 ident: bib0032 article-title: An auxiliary model based least squares algorithm for a dual-rate state space system with time-delay using the data filtering publication-title: J. Franklin Inst. – volume: 10 start-page: 894 year: 2016 end-page: 902 ident: bib0015 article-title: The filtering based iterative identification for multivariable systems publication-title: IET Control Theory Appl. – volume: 247 start-page: 1202 year: 2014 end-page: 1210 ident: bib0012 article-title: Hierarchical gradient parameter estimation algorithm for Hammerstein nonlinear systems using the key term separation principle publication-title: Appl. Math. Comput. – volume: 61 start-page: 1310 year: 2016 end-page: 1315 ident: bib0007 article-title: Fault detection filtering for nonlinear switched stochastic systems publication-title: IEEE Trans. Automat. Control – volume: 128 start-page: 212 year: 2016 end-page: 221 ident: bib0016 article-title: The auxiliary model based hierarchical gradient algorithms and convergence analysis using the filtering technique publication-title: Signal Process. – volume: 57 start-page: 13 year: 2016 end-page: 19 ident: bib0017 article-title: Hierarchical parameter estimation for a class of MIMO Hammerstein systems based on the reframed models publication-title: Appl. Math. Lett. – volume: 68 start-page: 148 year: 2016 ident: 10.1016/j.sigpro.2017.05.006_bib0005 article-title: Distributed receding horizon control of constrained nonlinear vehicle formations with guaranteed γ-gain stability publication-title: Automatica doi: 10.1016/j.automatica.2016.01.057 – volume: 10 start-page: 894 issue: 8 year: 2016 ident: 10.1016/j.sigpro.2017.05.006_bib0015 article-title: The filtering based iterative identification for multivariable systems publication-title: IET Control Theory Appl. doi: 10.1049/iet-cta.2015.1195 – volume: 84 start-page: 1045 issue: 2 year: 2016 ident: 10.1016/j.sigpro.2017.05.006_bib0018 article-title: Recursive least squares algorithm and gradient algorithm for Hammerstein–Wiener systems using the data filtering publication-title: Nonlinear Dyn. doi: 10.1007/s11071-015-2548-5 – year: 1996 ident: 10.1016/j.sigpro.2017.05.006_bib0041 – volume: 301 start-page: 135 year: 2016 ident: 10.1016/j.sigpro.2017.05.006_bib0033 article-title: Kalman state filtering based least squares iterative parameter estimation for observer canonical state space systems using decomposition publication-title: J. Comput. Appl. Math. doi: 10.1016/j.cam.2016.01.042 – volume: 117 start-page: 208 year: 2015 ident: 10.1016/j.sigpro.2017.05.006_bib0027 article-title: Recursive parameter and state estimation for an input nonlinear state space system using the hierarchical identification principle publication-title: Signal Process. doi: 10.1016/j.sigpro.2015.05.010 – volume: 18 start-page: 334 issue: 3 year: 2008 ident: 10.1016/j.sigpro.2017.05.006_bib0024 article-title: State-space least mean square publication-title: Digital Signal Process. doi: 10.1016/j.dsp.2007.05.003 – volume: 57 start-page: 13 year: 2016 ident: 10.1016/j.sigpro.2017.05.006_bib0017 article-title: Hierarchical parameter estimation for a class of MIMO Hammerstein systems based on the reframed models publication-title: Appl. Math. Lett. doi: 10.1016/j.aml.2015.12.018 – volume: 173 start-page: 1625 year: 2016 ident: 10.1016/j.sigpro.2017.05.006_bib0028 article-title: Image noise smoothing using a modified Kalman filter publication-title: Neurocomputing doi: 10.1016/j.neucom.2015.09.034 – volume: 79 start-page: 2155 issue: 3 year: 2015 ident: 10.1016/j.sigpro.2017.05.006_bib0010 article-title: Parameter estimation and controller design for dynamic systems from the step responses based on the Newton iteration publication-title: Nonlinear Dyn. doi: 10.1007/s11071-014-1801-7 – volume: 13 start-page: 237 issue: 2 year: 2016 ident: 10.1016/j.sigpro.2017.05.006_bib0043 article-title: Array factor forming for image reconstruction of one-dimensional nonuniform aperture synthesis radiometers publication-title: IEEE Geosci. Remote Sens. Lett. doi: 10.1109/LGRS.2015.2507623 – volume: 247 start-page: 1202 year: 2014 ident: 10.1016/j.sigpro.2017.05.006_bib0012 article-title: Hierarchical gradient parameter estimation algorithm for Hammerstein nonlinear systems using the key term separation principle publication-title: Appl. Math. Comput. – volume: 86 start-page: 93 year: 2016 ident: 10.1016/j.sigpro.2017.05.006_bib0029 article-title: A T-wave alternans assessment method based on least squares curve fitting technique publication-title: Measurement doi: 10.1016/j.measurement.2016.01.046 – volume: 60 start-page: 420 issue: 6 year: 2011 ident: 10.1016/j.sigpro.2017.05.006_bib0030 article-title: On the convergence of an extended state observer for nonlinear systems with uncertainty publication-title: Syst. Control Lett. doi: 10.1016/j.sysconle.2011.03.008 – year: 1984 ident: 10.1016/j.sigpro.2017.05.006_bib0001 – volume: 60 start-page: 156 year: 2016 ident: 10.1016/j.sigpro.2017.05.006_bib0044 article-title: Fault diagnosis method based on FFT-RPCA-SVM for cascaded-multilevel inverter publication-title: ISA Trans. doi: 10.1016/j.isatra.2015.11.018 – volume: 72–73 start-page: 328 year: 2016 ident: 10.1016/j.sigpro.2017.05.006_bib0045 article-title: An adaptive confidence limit for periodic non-steady conditions fault detection publication-title: Mech. Syst. Signal Process. doi: 10.1016/j.ymssp.2015.10.015 – volume: 352 start-page: 5292 issue: 11 year: 2015 ident: 10.1016/j.sigpro.2017.05.006_bib0009 article-title: Improved least squares identification algorithm for multivariable Hammerstein systems publication-title: J. Franklin Inst. doi: 10.1016/j.jfranklin.2015.09.007 – volume: 75 start-page: 144 year: 2016 ident: 10.1016/j.sigpro.2017.05.006_bib0003 article-title: Continuous-time model predictive control of under-actuated spacecraft with bounded control torques publication-title: Automatica doi: 10.1016/j.automatica.2016.09.024 – volume: 34 start-page: 1499 issue: 5 year: 2015 ident: 10.1016/j.sigpro.2017.05.006_bib0042 article-title: Unified synchronization criteria for hybrid switching-impulsive dynamical networks publication-title: Circuits Syst. Signal Process. doi: 10.1007/s00034-014-9916-0 – volume: 11 start-page: 390 issue: 3 year: 2017 ident: 10.1016/j.sigpro.2017.05.006_bib0021 article-title: Parameter estimation for pseudo-linear systems using the auxiliary model and the decomposition technique publication-title: IET Control Theory Appl. doi: 10.1049/iet-cta.2016.0491 – volume: 353 start-page: 1518 issue: 7 year: 2016 ident: 10.1016/j.sigpro.2017.05.006_bib0019 article-title: The recursive least squares identification algorithm for a class of Wiener nonlinear systems publication-title: J. Franklin Inst. doi: 10.1016/j.jfranklin.2016.02.013 – volume: 49 start-page: 95 year: 2016 ident: 10.1016/j.sigpro.2017.05.006_bib0025 article-title: Extended state space recursive least squares publication-title: Digital Signal Process. doi: 10.1016/j.dsp.2015.10.017 – volume: 33 start-page: 1439 issue: 5 year: 2014 ident: 10.1016/j.sigpro.2017.05.006_bib0023 article-title: Modified subspace identification for periodically non-uniformly sampled systems by using the lifting technique publication-title: Circuits Syst. Signal Process. doi: 10.1007/s00034-013-9704-2 – volume: 61 start-page: 1310 issue: 5 year: 2016 ident: 10.1016/j.sigpro.2017.05.006_bib0007 article-title: Fault detection filtering for nonlinear switched stochastic systems publication-title: IEEE Trans. Automat. Control doi: 10.1109/TAC.2015.2465091 – volume: 71 start-page: 308 year: 2016 ident: 10.1016/j.sigpro.2017.05.006_bib0014 article-title: Novel data filtering based parameter identification for multiple-input multiple-output systems using the auxiliary model publication-title: Automatica doi: 10.1016/j.automatica.2016.05.024 – volume: 22 start-page: 296 issue: 1 year: 2012 ident: 10.1016/j.sigpro.2017.05.006_bib0031 article-title: State estimation and unknown input reconstruction via both reduced-order and high-order sliding mode observers publication-title: J. Process Control doi: 10.1016/j.jprocont.2011.07.007 – volume: 120 start-page: 660 year: 2016 ident: 10.1016/j.sigpro.2017.05.006_bib0011 article-title: The damping iterative parameter identification method for dynamical systems based on the sine signal measurement publication-title: Signal Process. doi: 10.1016/j.sigpro.2015.10.009 – volume: 288 start-page: 33 year: 2015 ident: 10.1016/j.sigpro.2017.05.006_bib0013 article-title: Application of the Newton iteration algorithm to the parameter estimation for dynamical systems publication-title: J. Comput. Appl. Math. doi: 10.1016/j.cam.2015.03.057 – year: 1999 ident: 10.1016/j.sigpro.2017.05.006_bib0002 – volume: 106 start-page: 294 year: 2015 ident: 10.1016/j.sigpro.2017.05.006_bib0040 article-title: States based iterative parameter estimation for a state space model with multi-state delays using decomposition publication-title: Signal Process. doi: 10.1016/j.sigpro.2014.08.011 – volume: 354 start-page: 1321 issue: 3 year: 2017 ident: 10.1016/j.sigpro.2017.05.006_bib0022 article-title: Decomposition based least squares iterative identification algorithm for multivariate pseudo-linear ARMA systems using the data filtering publication-title: J. Franklin Inst. doi: 10.1016/j.jfranklin.2016.11.030 – volume: 10 start-page: 2506 issue: 18 year: 2016 ident: 10.1016/j.sigpro.2017.05.006_bib0020 article-title: Performance analysis of the generalised projection identification for time-varying systems publication-title: IET Control Theory Appl. doi: 10.1049/iet-cta.2016.0202 – start-page: 1924 year: 2014 ident: 10.1016/j.sigpro.2017.05.006_bib0039 article-title: Stochastic gradient algorithm for state space system with d-step delay – volume: 217 start-page: 9173 issue: 22 year: 2011 ident: 10.1016/j.sigpro.2017.05.006_bib0038 article-title: LDG method for reaction-diffusion dynamical systems with time delay publication-title: Appl. Math. Comput. – volume: 46 start-page: 2019 issue: 9 year: 2016 ident: 10.1016/j.sigpro.2017.05.006_bib0004 article-title: On neighbor information utilization in distributed receding horizon control for consensus-seeking publication-title: IEEE Trans. Cybern. doi: 10.1109/TCYB.2015.2459719 – volume: 218 start-page: 2880 issue: 6 year: 2011 ident: 10.1016/j.sigpro.2017.05.006_bib0035 article-title: Improved delay-dependent robust stability criteria for uncertain time delay systems publication-title: Appl. Math. Comput. – volume: 46 start-page: 59 year: 2015 ident: 10.1016/j.sigpro.2017.05.006_bib0036 article-title: H-infinity filtering for networked linear systems with multiple packet dropouts and random delays publication-title: Digital Signal Process. doi: 10.1016/j.dsp.2015.07.008 – volume: 219 start-page: 552 issue: 2 year: 2012 ident: 10.1016/j.sigpro.2017.05.006_bib0037 article-title: A novel artificial bee colony algorithm with space contraction for unknown parameters identification and time-delays of chaotic systems publication-title: Appl. Math. Comput. – volume: 50 start-page: 3268 issue: 12 year: 2014 ident: 10.1016/j.sigpro.2017.05.006_bib0006 article-title: A novel approach to output feedback control of fuzzy stochastic systems publication-title: Automatica doi: 10.1016/j.automatica.2014.10.053 – volume: 128 start-page: 212 year: 2016 ident: 10.1016/j.sigpro.2017.05.006_bib0016 article-title: The auxiliary model based hierarchical gradient algorithms and convergence analysis using the filtering technique publication-title: Signal Process. doi: 10.1016/j.sigpro.2016.03.027 – volume: 236 start-page: 391 year: 2014 ident: 10.1016/j.sigpro.2017.05.006_bib0034 article-title: A proportional differential control method for a time-delay system using the taylor expansion approximation publication-title: Appl. Math. Comput. – volume: 44 start-page: 2470 issue: 12 year: 2014 ident: 10.1016/j.sigpro.2017.05.006_bib0008 article-title: Reliable filtering with strict dissipativity for t-s fuzzy time-delay systems publication-title: IEEE Trans. Cybern. doi: 10.1109/TCYB.2014.2308983 – volume: 8 start-page: 639 issue: 6 year: 2014 ident: 10.1016/j.sigpro.2017.05.006_bib0026 article-title: State filtering and parameter estimation for linear systems with d-step state-delay publication-title: IET Signal Process. doi: 10.1049/iet-spr.2013.0076 – volume: 353 start-page: 398 issue: 2 year: 2016 ident: 10.1016/j.sigpro.2017.05.006_bib0032 article-title: An auxiliary model based least squares algorithm for a dual-rate state space system with time-delay using the data filtering publication-title: J. Franklin Inst. doi: 10.1016/j.jfranklin.2015.10.025 |
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