Search Results - discrete‐time recursive least‐squares algorithm

Recursive identification for Wiener non-linear systems with non-stationary disturbances by Dong, Shijian, Yu, Li, Zhang, Wen-An, Chen, Bo

“… Utilising the forgetting factor (FF) and the auxiliary model strategy, a discrete-time recursive least-squares algorithm is designed by augmenting the parameter vector and the information vector…”
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Online Identification of Multivariable Discrete Time Delay Systems Using a Recursive Least Square Algorithm by Bedoui, Saïda, Abderrahim, Kamel, Ltaïef, Majda

“…This paper addresses the problem of simultaneous identification of linear discrete time delay multivariable systems…”
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A recursive identification algorithm for discrete time-delay periodic linear systems by Lv, Lingling, Zhao, Jiali, Zheng, Bingqian, Shen, Jianwei, Yan, Huaicheng

“… Subsequently, we present an auxiliary model recursive least squares identification algorithm to identify the parameters of time-delay discrete linear periodic systems…”
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Discrete-time, normalized recursive least squares based concurrent learning for online function approximation by Djaneye-Boundjou, Ouboti, Ordóñez, Raúl

“… Using a linear-in-the-parameters model to approximate a general discrete-time (DT) uncertainty, we develop a DT normalized recursive least squares-based CL algorithm, thereby mixing CL and least squares…”
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Adaptive discrete-time sliding-mode control of nonlinear systems described by Wiener models by Salhi, Houda, Kamoun, Samira, Essounbouli, Najib, Hamzaoui, Abdelaziz

“… The parameters adaptation are performed using a new recursive parametric estimation algorithm. This algorithm is developed using the adjustable model method and the least squares technique…”
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Using a recursive least square algorithm for identification of interconnected linear discrete-time delay multivariable systems by Bedoui, S., Ltaief, Majda, Abderrahim, K.

“… This algorithm consists in constructing a linear-parameter formulation by building a generalized vector observation of each subsystem and using the recursive least squares approach to solve the obtained system…”
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Identification of discrete-time output error model for industrial processes with time delay subject to load disturbance by Dong, Shijian, Liu, Tao, Wang, Wei, Bao, Jie, Cao, Yi

“… By viewing the output response arising from such load disturbance as a dynamic parameter for estimation, a recursive least-squares identification algorithm is developed in the discrete-time domain…”
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On-line aerodynamic identification of quadrotor and its application to tracking control by Lei, Wenchao, Li, Chanying

“… The authors first present the on-line identification of the aerodynamic parameters by using the recursive least squares algorithm based on the measurement outputs of the accelerometer…”
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A new information-weighted recursive algorithm for time-varying systems: application to UAV system identification by Liu, Zun, Ji, Honghai, Pei, Hailong, Lewis, Frank L.

“…This paper presents a new recursive identification method which can efficiently estimate time-varying parameters in discrete time systems and has significant advantages over standard recursive least-squares (RLS) method…”
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Two-stage recursive least squares algorithm for identifying ship motion parameters and wave peak frequency by Liu, Yang, An, Shun, He, Yan, Wang, Longjin, Fan, Zhimin

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Data-driven recursive least squares methods for non-affined nonlinear discrete-time systems by Lin, Na, Chi, Ronghu, Huang, Biao

“…Aiming at identifying nonlinear systems, one of the most challenging problems in system identification, a class of data-driven recursive least squares algorithms are presented in this work…”
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System Identification and Discrete Nonlinear Control of Miniature Helicopters Using Backstepping by Raptis, Ioannis A., Valavanis, Kimon P., Moreno, Wilfrido A.

“… A simple Recursive Least Square algorithm is used for parameter identification in the time domain, the objective being the derivation of system dynamics that are both minimal in complexity…”
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Adaptive ILC for a class of discrete-time systems with iteration-varying trajectory and random initial condition by Chi, Ronghu, Hou, Zhongsheng, Xu, Jianxin

“… Using the analogy between the discrete-time axis and the iterative learning axis, the new adaptive ILC can incorporate a Recursive Least Squares (RLS…”
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An indirect adaptive pole-placement control for MIMO discrete-time stochastic systems by Yu, Wen-Shyong

“… This control scheme combines a recursive least squares (RLS) estimation algorithm with pole‐placement control design to produce a control law with self‐tuning capability…”
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Robust hierarchical identification of Wiener systems in the presence of dynamic disturbances by Dong, Shijian, Yu, Li, Zhang, Wen-An, Chen, Bo

“…•A hierarchical recursive least squares algorithm with forgetting factors is designed in discrete-time domain by using the auxiliary model scheme…”
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Extended Levinson and Chandrasekhar equations for general discrete-time linear estimation problems by Friedlander, B., Kailath, T., Morf, M., Ljung, L.

“…Recursive algorithrms for the solution of linear least-squares estimation problems have been based mainly on state-space models…”
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Adaptive Control Scheme for Large‐Scale Interconnected Systems Described by Hammerstein Models by Elloumi, Mourad, Kamoun, Samira

“…‐time Hammerstein model. Parameter adaptation is performed using a recursive parametric estimation algorithm based on the adjustable model method and the least squares techniques…”
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Linear recursive discrete-time estimators using covariance information under uncertain observations by Nakamori, Seiichi, Caballero-Águila, Raquel, Hermoso-Carazo, Aurora, Linares-Pérez, Josefa

“…This paper, using the covariance information, proposes recursive least-squares (RLS) filtering and fixed-point smoothing algorithms with uncertain observations in linear discrete-time stochastic systems…”
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Recursive identification of discrete-time nonlinear cascade systems with time-varying output hysteresis by Voros, Jozef

“… The recursive least-squares algorithm with internal variable estimation is used for the time-varying parameter identification…”
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Chandrasekhar-type recursive Wiener estimation technique in linear discrete-time stochastic systems by Nakamori, Seiichi

“…Previously, certain fast algorithm, called Chandrasekhar-type one-step ahead predictor, for recursive least-squares (RLS…”
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