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Article
Adaptive fuzzy formation control for heterogeneous multi-agent systems using time-varying IBLFs
In this article, the adaptive fuzzy formation control technique is addressed for heterogeneous multi-agent systems (HMASs) under time-varying full state constraints(TVFSCs). The time-varying integral barrier L...
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Article
Extended state observer-based non-singular practical fixed-time adaptive consensus control of nonlinear multi-agent systems
This article considers the practical fixed-time control algorithm of multi-agent systems (MASs) with unmeasurable states and disturbances. Neural networks are introduced to fit the nonlinear functions of MASs ...
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Article
Biased compensation recursive least squares-based threshold algorithm for time-delay rational models via redundant rule
This paper develops a biased compensation recursive least squares-based threshold algorithm for a time-delay rational model. The time-delay rational model is transformed into an augmented model by using the re...
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Article
A novel alleviating computation algorithm for a class of large-scale nonlinear systems with unknown dead-zones
In this paper, a novel alleviating computation decentralized adaptive fuzzy tracking control approach is presented for a class of uncertain nonlinear large-scale systems which consist of some subsystems with b...
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Article
Adaptive intelligence learning for nonlinear chaotic systems
In this paper, a reinforcement learning algorithm is proposed for a class of nonlinear differential chaotic systems. The nonlinear function of the chaotic systems is assumed to be bounded but the bounds are un...
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Article
Adaptive Neural Network Control for a DC Motor System with Dead-Zone
In this paper, an adaptive control strategy for tracking of a direct-current (DC) motor system with a dead-zone is developed. The main contribution of the developed scheme is that we successfully integrate an ...
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Article
Output feedback stabilization based on dynamic surface control for a class of uncertain stochastic nonlinear systems
In this paper, the dynamic surface control (DSC) algorithm is proposed for a class of stochastic nonlinear systems with nonminimum phase and the standard output-feedback form. The proposed algorithm is a stoch...
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Article
Adaptive fuzzy-neural tracking control for uncertain nonlinear discrete-time systems in the NARMAX form
In this paper, an adaptive fuzzy-neural control scheme is investigated for a class of single-input single-output (SISO) discrete-time nonlinear systems in the presence of bounded disturbances. The SISO systems...
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Article
Adaptive neural output feedback control of nonlinear discrete-time systems
Based on the backstep** technique, an adaptive neural network (NN) based output feedback controller is proposed to achieve a desired tracking performance for a class of discrete-time nonlinear systems, which...
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Article
Decentralized control of uncertain nonlinear stochastic systems based on DSC
In this paper, the decentralized stabilization control approach based on the dynamic surface control (DSC) is proposed for a class of large-scale interconnected stochastic nonlinear systems. The proposed appro...
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Article
Adaptive fuzzy output feedback control of uncertain nonlinear systems with nonsymmetric dead-zone input
In this paper, we present an adaptive control scheme for a class of uncertain nonlinear system with unknown nonsymmetric dead-zone nonlinearity. It is assumed that the system states are unmeasurable. Therefore...
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Article
Adaptive fuzzy output-feedback control of uncertain SISO nonlinear systems
The output-feedback control problem of a class of uncertain SISO nonlinear systems is investigated based on an indirect adaptive fuzzy approach. Because the system states are not required to be available for m...
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Article
Adaptive fuzzy controller design of nonlinear systems with unknown gain sign
For a class of uncertain nonlinear non-affine systems, an adaptive fuzzy controller is proposed in this paper. Compared with the existing results, the proposed controller does not require a priori knowledge ab...
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Article
Adaptive robust fuzzy control for a class of uncertain chaotic systems
In this paper, the output feedback control of uncertain chaotic systems is addressed via an adaptive robust fuzzy approach. Fuzzy logic systems are employed to approximate uncertain nonlinear functions in the ...