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第37届中国控制会议

作者： Jingyang Mao Derui Ding Ying Sun Department of Control Science and Engineering University of Shanghai for Science and Technology

This paper investigates the recursive filter problem for a type of discrete-time stochastic nonlinear systems subject to both determinate state delays and packet ***-Sugeno fuzzy model is introduced to deal with the nonlinearities in the system and random Bernoulli variables are utilized to depict the probability of packet *** the simultaneous consideration of system nonlinearities,state delays as well as missing measurements,the aim for the discussed filtering problem is to obtain a set of filter parameters over a finite-time horizon to minimize the upper bound of filtering error *** elaborate mathematical analysis,these desired filter parameters are derived by virtue of solving two Riccati-type difference equations,which are dependent on the latest estimation states and are with the online recursive ***,the effectiveness of proposed design scheme is vividly inspected by an inverted pendulum system.

关键词： Takagi-Sugeno(T-S) Fuzzy model Recursive Filtering state delays Packet Loss

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A fundamental matrix based approach to design prediction schemes for discrete-time systems with state and input delays

A fundamental matrix based approach to design prediction sch...

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第40届中国控制会议

作者： Ai-Guo Wu Harbin Institute of Technology （Shenzhen）

In this paper, the concept of fundamental matrices is generalized to discrete-time systems with state delays, and a simple property is derived. With the help of fundamental matrices, a prediction scheme is proposed fo... 详细信息

关键词： Prediction scheme Fundamental matrices Input delays state delays

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Delay-Dependent Robust H_∞ Control for Uncertain 2-D Discrete state Delay Systems Described by the General Model

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Circuits and Systems 2016年第11期7卷 3645-3669页

作者： Arun Kumar Singh Akshata Tandon Amit Dhawan Department of Electronics and Communication Engineering Motilal Nehru National Institute of Technology Allahabad India

This paper considers the problem of delay-dependent robust optimal H∞ control for a class of uncertain two-dimensional (2-D) discrete state delay systems described by the general model (GM). The parameter uncertainties are assumed to be norm-bounded. A linear matrix inequality (LMI)-based sufficient condition for the existence of delay-dependent g-suboptimal state feedback robust H∞ controllers which guarantees not only the asymptotic stability of the closed-loop system, but also the H∞ noise attenuation g over all admissible parameter uncertainties is established. Furthermore, a convex optimization problem is formulated to design a delay-dependent state feedback robust optimal H∞ controller which minimizes the H∞ noise attenuation g of the closed-loop system. Finally, an illustrative example is provided to demonstrate the effectiveness of the proposed method.

关键词： 2-D Discrete System General Model H∞ Control Linear Matrix Inequality state delays Uncertain System

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