An Optimal Tracking Performance of MIMO NCS with Quantization and Bandwidth Constraints
Sign Up to like & getrecommendations! Published in 2019 at "Asian Journal of Control"
DOI: 10.1002/asjc.1818
Abstract: This paper presents an optimal tracking performance of multiple‐input multiple‐output (MIMO) networked control systems (NCSs) with quantization and bandwidth constraints. In this study, we simultaneously consider the encoding‐decoding, quantization and bandwidth of communication channel. The… read more here.
Keywords: optimal tracking; quantization bandwidth; tracking performance; performance ... See more keywords
Optimal tracking performance of communication constrained systems with fading channel and quantization constraint
Sign Up to like & getrecommendations! Published in 2025 at "Asian Journal of Control"
DOI: 10.1002/asjc.3588
Abstract: This paper studies the optimal tracking performance (OTP) of multiple‐input multiple‐output (MIMO) discrete communication constrained systems (CCSs) with fading channel and quantization constraints. An equivalent average channel is used to replace the fading channel with… read more here.
Keywords: communication constrained; fading channel; optimal tracking; quantization ... See more keywords
Integral Reinforcement Learning‐Based H∞$$ {H}_{\infty } $$ Optimal Tracking Control for Continuous‐Time Uncertain Systems With Application to Pulping Process
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DOI: 10.1002/rnc.70025
Abstract: This paper addresses the issue of H∞$$ {H}_{\infty } $$ optimal tracking control for continuous‐time uncertain systems, where a model‐data dual‐driven H∞$$ {H}_{\infty } $$ control algorithm is proposed. First, a model‐based robust controller is… read more here.
Keywords: tracking control; optimal tracking; control; infty optimal ... See more keywords
Integral reinforcement learning‐based optimal tracking control for uncertain nonlinear systems under input constraint and specified performance constraints
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DOI: 10.1002/rnc.7415
Abstract: This article addresses the optimal tracking control problem with prescribed performance for uncertain nonlinear systems subject to input constraint and unknown disturbances. First, a fixed‐time monotonic convergence function is introduced to restrain tracking error, and… read more here.
Keywords: tracking control; nonlinear systems; optimal tracking; control ... See more keywords
Event-triggered optimal tracking control for strict-feedback nonlinear systems with non-affine nonlinear faults
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DOI: 10.1007/s11071-024-09843-x
Abstract: This article studies the control ideas of the optimal backstepping technique, proposing an event-triggered optimal tracking control scheme for a class of strict-feedback nonlinear systems with non-affine and nonlinear faults. A simplified identifier-critic-actor framework is… read more here.
Keywords: tracking control; triggered optimal; optimal tracking; control ... See more keywords
Optimal tracking and disturbance rejection with invariant zeros on the unit circle: a polynomial spectral factorization design
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DOI: 10.1016/j.ifacol.2017.08.174
Abstract: Abstract We present a simple algorithm for computation of H 2 -optimal tracking and disturbance rejection controller of discrete-time systems possessing invariant zeros on the unit circle, based on polynomial spectral factorization. We prove that… read more here.
Keywords: zeros unit; unit circle; disturbance rejection; tracking disturbance ... See more keywords
Biomimetic Optimal Tracking Control using Mean Field Games and Spiking Neural Networks
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DOI: 10.1016/j.ifacol.2020.12.2281
Abstract: This paper investigates decentralized optimal tracking control for multi-agent systems (MAS)s with a large population. Unlike conventional decentralized control, two major challenges must be addressed when the population size of the MAS is large: the… read more here.
Keywords: optimal tracking; control; neural networks; tracking control ... See more keywords
General value iteration based reinforcement learning for solving optimal tracking control problem of continuous-time affine nonlinear systems
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.03.038
Abstract: In this paper, a novel reinforcement learning (RL) based approach is proposed to solve the optimal tracking control problem (OTCP) for continuoustime (CT) affine nonlinear systems using general value iteration (VI). First, the tracking performance… read more here.
Keywords: control; control problem; affine nonlinear; tracking control ... See more keywords
Data-driven finite-horizon optimal tracking control scheme for completely unknown discrete-time nonlinear systems
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DOI: 10.1016/j.neucom.2019.05.026
Abstract: Abstract This paper proposes finite-horizon optimal tracking control approach based on data for completely unknown discrete-time nonlinear affine systems. First, the identifier is designed by input and output data, which is used to identify system… read more here.
Keywords: system; control; time; tracking control ... See more keywords
Optimal tracking consensus for swarm systems with leader-following switching topologies
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DOI: 10.1038/s41598-025-20475-y
Abstract: For swarm systems with leader-following switching topologies, optimal tracking consensus achievement problems are investigated. First, by these errors of the cooperative states among neighboring agents, a new tracking strategy with an optimization index is proposed… read more here.
Keywords: optimal tracking; leader following; tracking consensus; swarm systems ... See more keywords
Data-driven optimal tracking control of discrete-time linear systems with multiple delays via the value iteration algorithm
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Systems Science"
DOI: 10.1080/00207721.2022.2060366
Abstract: In this paper, the optimal tracking problem for discrete-time linear systems with multiple delays is studied without system dynamics. It is known that the total state of a system without specific dynamic characteristics is hard… read more here.
Keywords: system; time; optimal tracking; discrete time ... See more keywords