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Passivity analysis for uncertain stochastic neural networks with discrete interval and distributed time-varying delays

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Journal of Systems Engineering and Electronics 2010年第4期21卷 688-697页

作者： P.Balasubramaniam G.Nagamani Department of Mathematics Gandhigram Rural University

The problem of passivity analysis is investigated for uncertain stochastic neural networks with discrete interval and distributed time-varying *** parameter uncertainties are assumed to be norm bounded and the delay is assumed to be time-varying and belongs to a given interval,which means that the lower and upper bounds of interval time-varying delays are *** constructing proper lyapunov-Krasovskii functional and employing a combination of the free-weighting matrix method.and stochastic analysis technique,new delay-dependent passivity conditions are derived in terms of linear matrix inequalities（LMIs）.Finally,numerical examples are given to show the less conservatism of the proposed conditions.

关键词： linear matrix inequality(LMI) stochastic neural network passivity interval time-varying delay lyapunov method.

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Adaptive Terminal Sliding Mode Control for Rigid Robotic Manipulators

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International Journal of Automation and computing 2011年第2期8卷 215-220页

作者： Mezghani Ben Romdhane Neila Damak Tarak Industrial Processes Control Unit National Engineering School of SfaxUniversity of Sfax

In order to apply the terminal sliding mode control to robot manipulators,prior knowledge of the exact upper bound of parameter uncertainties,and external disturbances is ***,this bound will not be easily determined because of the complexity and unpredictability of the structure of uncertainties in the dynamics of the *** resolve this problem in robot control,we propose a new robust adaptive terminal sliding mode control for tracking problems in robotic *** applying this adaptive controller,prior knowledge is not required because the controller is able to estimate the upper bound of uncertainties and ***,the proposed controller can eliminate the chattering effect without losing the robustness *** stability of the control algorithm can be easily verified by using lyapunov *** proposed controller is tested in simulation on a two-degree-of-freedom robot to prove its effectiveness.

关键词： Terminal sliding mode sliding mode control adaptive control of robot robust control lyapunov method.

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Recent Results on Stability Analysis and Synthesis of Discrete-Time Systems

Recent Results on Stability Analysis and Synthesis of Discre...

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第二十四届中国控制会议

作者： Zhongping Jiang~, Yuandan Lin Yuan Wang 1 Dept. of Electrical & Compu!er Engineering, Polytechnic University Six Metrotech Center, Brooklyn, NY 11201, USA 2 Dept. of Mathematical Sciences, Florida Atlantic University 777 Glades Road, Boca Raton, FL33431, USA

＜正＞ In this work we discuss some recent work on input-to-state stability for discrete time systems, including its extension to input-to-output stability applied to a more general context where only partial stability is considered. A small gain theorem is presented for interconnected systems in terms of input-to-output gain functions.

关键词： Discrete time system nonlinear robust stability input-to-state stability lyapunov method.

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