Journal ArticleDOI
Decentralized adaptive tracking control for a class of interconnected nonlinear systems with input quantization
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TLDR
A decentralized output-feedback adaptive control scheme is proposed for a class of interconnected nonlinear systems with input quantization that can guarantee global stability of the overall closed-loop system regardless of the coarseness of the quantizers and the existence of interactions among subsystems.About:
This article is published in Automatica.The article was published on 2017-07-01. It has received 108 citations till now. The article focuses on the topics: Quantization (signal processing) & Adaptive control.read more
Citations
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The sector bound approach to quantized feedback control | NOVA. The University of Newcastle's Digital Repository
Minyue Fu,Lihua Xie +1 more
TL;DR: In this paper, a number of quantized feedback design problems for linear systems were studied and the authors showed that the classical sector bound approach is non-conservative for studying these design problems.
Journal ArticleDOI
Networked control systems: a survey of trends and techniques
TL;DR: A survey of trends and techniques in networked control systems from the perspective of ‘ control over networks ’ is presented, providing a snapshot of five control issues: sampled-data control, quantization control, networking control, event-triggered control, and security control.
Journal ArticleDOI
Adaptive control of uncertain nonlinear systems with quantized input signal
Jing Zhou,Changyun Wen,Wei Wang +2 more
TL;DR: This paper proposes new adaptive controllers for uncertain nonlinear systems in the presence of input quantization by using backstepping technique and develops a totally decentralized adaptive control scheme with new compensation method incorporated for the unknown nonlinear interactions and quantization error.
Journal ArticleDOI
Resilient adaptive and H∞ controls of multi-agent systems under sensor and actuator faults
Ci Chen,Ci Chen,Frank L. Lewis,Frank L. Lewis,Shengli Xie,Hamidreza Modares,Zhi Liu,Shan Zuo,Ali Davoudi +8 more
TL;DR: This paper proposes four resilient state feedback based leader–follower tracking protocols that guarantee bounded L2 gains of certain errors in terms of the L2 norms of fault signals and shows the duality between the adaptive compensation protocols and the H∞ control protocols.
Journal ArticleDOI
Adaptive Backstepping Control of Nonlinear Uncertain Systems With Quantized States
TL;DR: An adaptive backstepping-based control algorithm, which can handle discontinuity, and a new approach to stability analysis are developed by constructing a new compensation scheme for the effects of the state quantization.
References
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Book
Nonlinear and adaptive control design
TL;DR: In this paper, the focus is on adaptive nonlinear control results introduced with the new recursive design methodology -adaptive backstepping, and basic tools for nonadaptive BackStepping design with state and output feedbacks.
Journal ArticleDOI
The sector bound approach to quantized feedback control
Minyue Fu,Lihua Xie +1 more
TL;DR: The coarsest quantization densities for stabilization for multiple-input-multiple-output systems in both state feedback and output feedback cases are derived and conditions for quantized feedback control for quadratic cost and H/sub /spl infin// performances are derived.
The sector bound approach to quantized feedback control | NOVA. The University of Newcastle's Digital Repository
Minyue Fu,Lihua Xie +1 more
TL;DR: In this paper, a number of quantized feedback design problems for linear systems were studied and the authors showed that the classical sector bound approach is non-conservative for studying these design problems.
Journal ArticleDOI
Stabilization of nonlinear systems with limited information feedback
Daniel Liberzon,Joao P. Hespanha +1 more
TL;DR: It is demonstrated that global asymptotic stabilization is possible if a suitable relationship holds between the number of values taken by the encoder, the sampling period, and a system parameter, provided that a feedback law achieving input-to-state stability with respect to measurement errors can be found.
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