Search Results - "Convex optimization algorithm"

A low-rank multivariate general linear model for multi-subject fMRI data and a non-convex optimization algorithm for brain response comparison by Zhang, Tingting, Pham, Minh, Sun, Jianhui, Yan, Guofen, Li, Huazhang, Sun, Yinge, Gonzalez, Marlen Z., Coan, James A.

“…The focus of this paper is on evaluating brain responses to different stimuli and identifying brain regions with different responses using multi-subject, stimulus-evoked functional magnetic resonance imaging (fMRI) data…”
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Design of Nearly Linear Phase IIR Fractional Order Digital Differentiators using Iterative Convex Optimization Algorithm by Chen, Juan, Wei, Xuewen, Meng, Hailong

“… To resolve this, we propose an Iterative Convex Optimization algorithm that reformulates the nonconvex problem into a series of convex subproblems utilizing a Gauss-Newton strategy…”
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An online convex optimization algorithm for controlling linear systems with state and input constraints by Nonhoff, Marko, Muller, Matthias A.

“…This paper studies the problem of controlling linear dynamical systems subject to point-wise-in-time constraints…”
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Anti-disturbance tracking control for systems with nonlinear disturbances using T–S fuzzy modeling by Yi, Yang, Fan, Xiang Xiang, Zhang, Tian Ping

“…This paper addresses a novel anti-disturbance dynamical tracking problem for a class of MIMO systems subject to unknown disturbances and nonlinear dynamics…”
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An online convex optimization algorithm for controlling linear systems with state and input constraints by Nonhoff, Marko, Müller, Matthias A

“…This paper studies the problem of controlling linear dynamical systems subject to point-wise-in-time constraints…”
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Improved Non Convex Optimization Algorithm for Reconstruction of Sparse Signals by Ronggen Yang, Mingwu Ren

“… The form is solution to the optimization problem min ||s|| 0 , subject to As = x. while this is an NP hard problem, i.e…”
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Master–slave synchronization of neural networks subject to mixed-type communication attacks by Kazemy, Ali, Saravanakumar, Ramasamy, Lam, James

“… A convex optimization algorithm is proposed to design the static output feedback controller…”
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A Relaxed Observer-Based Control for LPV Stochastic Systems Subject to H∞ Performance by Chen, Guan-Wei, Ku, Cheung-Chieh

“… By using convex optimization algorithm, all feasible solutions can be obtained…”
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Distributionally robust joint chance constraints with second-order moment information by Zymler, Steve, Kuhn, Daniel, Rustem, Berç

“…We develop tractable semidefinite programming based approximations for distributionally robust individual and joint chance constraints, assuming that only the…”
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Reliable Sliding Mode Control of Fast Sampling Singularly Perturbed Systems: A Redundant Channel Transmission Protocol Approach by Song, Jun, Niu, Yugang, Lam, Hak-Keung

“… and the reachability of the specified sliding surface. Moreover, a convex optimization algorithm is formulated to solve…”
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Sampled-data observer-based anti-windup control for singularly perturbed systems with actuator saturation by Yan, Yifang, Yang, Chunyu, Ma, Xiaoping, Zhou, Linna

“… Furthermore, a convex optimization algorithm is formulated to obtain a desired stability bound and enlarge the basin of attraction at the same time…”
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Event-Based Set-Membership Leader-Following Consensus of Networked Multi-Agent Systems Subject to Limited Communication Resources and Unknown-But-Bounded Noise by Ge, Xiaohua, Han, Qing-Long, Yang, Fuwen

“…This paper addresses the problem of leader-following consensus for networked multi-agent systems subject to limited communication resources and unknown-but-bounded process and measurement noise…”
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Secure platooning control of automated vehicles under cyber attacks by Mousavinejad, Eman, Vlacic, Ljubo

“… heterogenous engine time constants, bounded disturbance and noise. A convex optimization algorithm is proposed to find some optimal ellipsoidal sets and recursively solve out gain matrices of the local…”
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RSTFC: A Novel Algorithm for Spatio-Temporal Filtering and Classification of Single-Trial EEG by Qi, Feifei, Li, Yuanqing, Wu, Wei

“…Learning optimal spatio-temporal filters is a key to feature extraction for single-trial electroencephalogram (EEG) classification. The challenges are…”
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Sliding mode fuzzy control for nonlinear stochastic systems subject to pole assignment and variance constraint by Chang, Wen-Jer, Qiao, Hong-Yu, Ku, Cheung-Chieh

“… Based on Lyapunov theory, some sufficient conditions are derived into linear matrix inequality form that can be directly solved by the convex optimization algorithm…”
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State estimation for a class of artificial neural networks subject to mixed attacks: A set-membership method by Qu, Yi, Pang, Kai

“… By means of the set-membership approach in combination with certain convex optimization algorithm, the sufficient condition is established for the existence of the desired state estimator in terms…”
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Static output‐feedback sliding mode control under round‐robin protocol by Song, Jun, Wang, Zidong, Niu, Yugang

“…Summary This paper addresses the static output‐feedback sliding mode control (SMC) problem for a class of uncertain control systems subject to the round…”
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Synchronization of semi-Markov coupled neural networks with impulse effects and leakage delay by Karthick, S.A., Sakthivel, R., Alzahrani, Faris, Leelamani, A.

“…This paper examines the robust synchronization problem for a class of coupled neural networks in mean-square sense subject to semi-Markov jump, outer coupling, leakage and time-varying delay…”
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Consensus and Security Control of Multi-agent Systems Based on Set-membership Estimation with Time-varying Topology under Deception Attacks by Zhu, Yanfei, Liu, Hang, Li, Chuanjiang, Yu, Jiahao

“… Then, a convex optimization algorithm is established to deal with the proposed framework. Finally, the effectiveness of the method is verified by numerical simulation…”
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Observer-Based Robust Fuzzy Controller Design for Uncertain Singular Fuzzy Systems Subject to Passivity Criterion by Chang, Wen-Jer, Huang, Yu-Min, Ku, Cheung-Chieh, Du, Jialu

“…), are applied to convert the conditions to Linear Matrix Inequality (LMI) form. Therefore, the convex optimization algorithm is used to solve the LMI conditions…”
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