For a class of nonlinear discrete-time systems with input backlash, the fuzzy backlash model is used to replace the backlash inverse model, and the fuzzy backlash model is approximated by the linear combination of lin...
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this paper focuses on the reliability of the iterative learningcontrol strategy for a kind of repeatable discrete-time models subject to transmission attenuation and offset fault produced in actuator. the attenuation...
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this paper focuses on the design of the non-fragile H∞ filtering of fuzzy discrete-time systems with Markovian jump and data loss. the system is represented by Takagi and Sugeno (T-S) fuzzy model. the imperfect infor...
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this paper studies the containment control problem for a class of discrete-time multi-agent systems with fixed topology by introducing differential privacy mechanism. Firstly, we present a private containment control ...
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this paper proposes an adaptive Iterative learningcontrol (ILC) method for no-parameterized nonlinear continuous systems to track iteration-dependent reference trajectory. the adaptive ILC method releases the general...
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In this note, two kinds of distributed model free adaptive PID controllers are proposed to solve the consensus tracking problem for a class of unknown heterogenous nonaffine nonlinear discrete-time multi-agent systems...
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In this paper, we propose a model-free adaptive control (MFAC) method to solve the vehicle-following problem for multi-vehicle systems. the considered system is affected by the nonlinear acceleration uncertainties and...
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this paper deals with h -gain controller synthesis of positive Markov jump systems (PMJSs) with asynchronous modes. thanks to the hidden Markov model, the closed-loop systems are modeled as hidden Markov jump systems ...
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Among available iterative learningcontrol (ILC) results on 2-D dynamical systems, they only focus on the discrete case. this paper first investigates ILC problems of a class of 2-D continuous-discrete systems. We dev...
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this paper investigates the control problem of an uncertain robotic manipulator under the effect of bounded external disturbance and input constraint. A novel Neural Network (NN) controller is proposed to achieve asym...
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