Time filter

Source Type

Zhang X.,Northeastern University China | Zhang X.,Key Laboratory of Integrated Automation for the Process Industry | Zhang H.,Northeastern University China | Zhang H.,Key Laboratory of Integrated Automation for the Process Industry | And 3 more authors.
International Journal of Innovative Computing, Information and Control | Year: 2011

In this paper, a new iteration approach is derived to solve the optimal strategies for quadratic zero-sum game of finite-horizon continuous-time nonaffine nonlinear system. Through iteration algorithm between two sequences which are a sequence of state trajectories of linear quadratic zero-sum games and a sequence of corresponding Riccati differential equations, the optimal strategies for the nonaffine nonlinear zero-sum game are given. Under very mild conditions of local Lipschitz continuity, the convergence of approximating linear time-varying sequences is proved. A numerical example is given to demonstrate the convergence and effectiveness of the proposed approach. ICIC International © 2011.


Xie X.-P.,Key Laboratory of Integrated Automation for the Process Industry | Xie X.-P.,Northeastern University China | Zhang H.-G.,Key Laboratory of Integrated Automation for the Process Industry | Zhang H.-G.,Northeastern University China
Zidonghua Xuebao/Acta Automatica Sinica | Year: 2010

This paper is concerned with the problem of stabilization of the Roesser type discrete-time 2-D T-S fuzzy system via some improved homogeneous polynomial techniques. First, a novel kind of non-quadratic control scheme is proposed to stabilize the underlying 2-D T-S fuzzy system, thus less conservative stabilization conditions are attained by applying two kinds of improved homogeneous polynomial techniques. As the degree of the homogeneous polynomially parameter-dependent matrix increases, these attained sufficient conditions may be asymptotically necessary in a convergent sense. Second, for the sake of further reducing conservatism, a new right-hand-side slack variables introducing approach which suits the homogenous polynomial setting is also proposed. Finally, a numerical example is provided to illustrate the effectiveness of the proposed methods. Copyright © 2010 Acta Automatica Sinica. All rights reserved.


Liu Z.-W.,Key Laboratory of Integrated Automation for the Process Industry | Liu Z.-W.,Northeastern University China | Zhang H.-G.,Key Laboratory of Integrated Automation for the Process Industry | Zhang H.-G.,Northeastern University China
Zidonghua Xuebao/ Acta Automatica Sinica | Year: 2010

The stability for a class of linear neutral systems with time-varying delays is studied in this paper, where delay in neutral-type term includes a fast-varying case (i.e., the derivative of delay is more than one), which has never been considered in current literature. The less conservative delaydependent stability criteria for this system are proposed by applying new Lyapunov-Krasovskii functional and novel polynomials with time-varying delay (PTVD) compensation technique. The aim to deal with systems with fast-varying neutral-type delay can be achieved by using the new functional. The benefit brought by applying the PTVD compensation technique is that some useful elements can be included in criteria, which are generally ignored when estimating the upper bound of derivative of Lyapunov-Krasovskii functional. A numerical example is provided to verify the effectiveness of the proposed results. © 2010 Acta Automatica Sinica. All rights reserved.


Xie X.-P.,Key Laboratory of Integrated Automation for the Process Industry | Xie X.-P.,Northeastern University China | Zhang H.-G.,Key Laboratory of Integrated Automation for the Process Industry | Zhang H.-G.,Northeastern University China
Xitong Fangzhen Xuebao / Journal of System Simulation | Year: 2010

The problem of control and simulation for a class of nonlinear stochastic systems with interval delay was investigated, and delay-dependent control law was proposed based on the stochastic fuzzy hyperbolic tangent model (SFHM). The underlying nonlinear system could be modeled by the SFHM whose model parameters could be learned by BP neural network. The asymptotical stability condition in the mean square sense for the closed systems was derived by applying a new Lyapunov-Krasovskii functional. Finally, an improved Euler-Maruyamma numerical method for nonlinear stochastic differential function was proposed to illustrate the efficiency of the resulted control strategy.


Song Z.,Key Laboratory of Integrated Automation for the Process Industry | Song Z.,Northeastern University China | Zhang H.-G.,Key Laboratory of Integrated Automation for the Process Industry | Zhang H.-G.,Northeastern University China
Xitong Fangzhen Xuebao / Journal of System Simulation | Year: 2010

Ferromagnetic hysteresis nonlinearity reflects hysteresis characteristic existing in ferromagnetic materials. Tracking control problem of a class of uncertain nonlinear systems with ferromagnetic hysteresis was concerned. To simplify the procedure of controller design, the ferromagnetic hysteresis model was approximated using a linear input and a bounded nonlinear disturbance. To avoid the limitation of constructing complex hysteresis inversion in which the exact expression of hysteresis model was required, the model was fused with the controller design to mitigate the effect of hysteresis in the system. An adaptive backstepping control method was proposed. The designed controller guaranteed that the output tracked a desired signal and the tracking error converged to a small bound. The closed-loop system was globally stable. Simulation study illustrates the effectiveness of the scheme.


Wang H.,Beijing University of Technology | Ju H.-H.,Beijing University of Technology | Yang G.-H.,Key Laboratory of Integrated Automation for the Process Industry | Yang G.-H.,Northeastern University China
Zidonghua Xuebao/Acta Automatica Sinica | Year: 2010

The paper studies the problem of fault detection filter design for uncertain linear continuous-time systems. A design procedure dealing with parameter uncertainties is proposed for residual generation, the sensitivity to fault and the robustness against disturbances are both enhanced on residual outputs through satisfying some performance indexes. By the aid of the generalized Kalman-Yakubovich-Popov (GKYP) lemma, the fault sensitivity performance index can be dealt with in the given frequency range directly, which avoids approximations associated with frequency weights of the existing techniques. An iterative algorithm based on linear matrix inequality (LMI) is given to obtain the solutions. A numerical example is given to illustrate the effectiveness of the proposed methods. Copyright © 2010 Acta Automatica Sinica. All rights reserved.


Xu J.,Northeastern University China | Xu J.,Key Laboratory of Integrated Automation for the Process Industry | Wang W.J.,Northeastern University China | Wang W.J.,Key Laboratory of Integrated Automation for the Process Industry | And 4 more authors.
2010 Chinese Control and Decision Conference, CCDC 2010 | Year: 2010

As the technics of Grate-Kiln is complicated, for which it's difficult to establish accurate model, a black-box prediction model of quality is established in this paper with compression strength, drum index and screening index being the output based on the method of BP Neural Network optimized by Genetic Algorithm. And then the parameters of model are identified by MATLAB using the real data of some pellets factory. And the result of simulating indicates that the model converges quickly and the hit-ratio is increased. ©2010 IEEE.

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