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A decentralized model reference adaptive variable structure controller for large-scale time-varying delay systems

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TLDR
An adaptive variable structure control strategy for solving the robust tracking problem without the knowledge of upper bound of perturbations is developed based on the Lyapunov stability theorem and the objective of globally asymptotical stability is achieved.
Abstract
In this note, the problem of decentralized model reference adaptive variable structure control for a class of perturbed large-scale systems with varying time-delay interconnections is investigated. Based on the Lyapunov stability theorem, an adaptive variable structure control strategy for solving the robust tracking problem without the knowledge of upper bound of perturbations is developed. The use of adaptive technique is to adapt the unknown upper bound of perturbations so that the objective of globally asymptotical stability is achieved. Once the system enters the sliding manifold, the dynamics of controlled systems are insensitive to matching perturbations. Finally, an example is given to demonstrate the feasibility of the proposed control scheme.

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Citations
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Journal ArticleDOI

Adaptive Sliding-Mode Control for NonlinearSystems With Uncertain Parameters

TL;DR: This correspondence proposes a systematic adaptive sliding- mode controller design for the robust control of nonlinear systems with uncertain parameters and proves system robustness, as well as stability, is proven by using the Lyapunov theory.
Journal ArticleDOI

Approximation-based control of nonlinear MIMO time-delay systems

TL;DR: Approximation-based control is presented for a class of multi-input multi-output (MIMO) nonlinear systems in block-triangular form with unknown state delays by combining the use of Lyapunov-Krasovskii functionals and adaptive NN backstepping.
Journal ArticleDOI

Synchronized Output Regulation of Linear Networked Systems

TL;DR: This note addresses the problem of synchronized output regulation of linear networked system where all the nodes have their outputs track signals produced by the same exosystem and the state of exos system is accessible only to leader nodes, while follower nodes regulate their outputs via a distributed synchronous protocol.
Journal ArticleDOI

Neural-Network-Based Decentralized Adaptive Control for a Class of Large-Scale Nonlinear Systems With Unknown Time-Varying Delays

TL;DR: A decentralized adaptive methodology is presented for large-scale nonlinear systems with model uncertainties and time-delayed interconnections unmatched in control inputs and it is proved that all the signals in the closed-loop system are semiglobally uniformly bounded.
Journal ArticleDOI

Brief paper: Decentralized adaptive control for large-scale time-delay systems with dead-zone input

TL;DR: By introducing a new smooth dead-zone inverse, the proposed backstepping design is able to eliminate the effects resulting from dead- Zone nonlinearities in the input.
References
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Book

Applied Nonlinear Control

TL;DR: Covers in a progressive fashion a number of analysis tools and design techniques directly applicable to nonlinear control problems in high performance systems (in aerospace, robotics and automotive areas).
Book

Sliding Modes in Control and Optimization

TL;DR: The theory and practical application of Lyapunov's Theorem, a method for the Study of Non-linear High-Gain Systems, are studied.
Book

Linear System Theory and Design

TL;DR: Striking a balance between theory and applications, Linear System Theory and Design, 3/e, is ideal for use in advanced undergraduate/first-year graduate courses in linear systems and multivariable system design in electrical, mechanical, chemical, and aeronautical engineering departments.
Journal ArticleDOI

Variable structure control of nonlinear multivariable systems: a tutorial

TL;DR: In this paper, the design of variable-structure control (VSC) systems for a class of multivariable, nonlinear, time-varying systems is presented.
Journal ArticleDOI

Tracking control of non-linear systems using sliding surfaces with application to robot manipulators

TL;DR: In this paper, the authors present a methodology of feedback control to achieve accurate tracking for a class of nonlinear time-varying systems in the presence of disturbances and parameter variations.