DSpace Community:http://hdl.handle.net/2440/2922014-09-02T14:06:38Z2014-09-02T14:06:38ZDelay-dependent guaranteed cost control for a non-linear stochastic system with distributed delaysQiu, J.He, H.Shi, P.http://hdl.handle.net/2440/848842014-09-02T01:22:33Z2008-12-31T13:30:00ZTitle: Delay-dependent guaranteed cost control for a non-linear stochastic system with distributed delays
Author: Qiu, J.; He, H.; Shi, P.
Abstract: In this paper, the problem of guaranteed cost control for stochastic systems is considered. The system is non-linear, and the delays are distributed. Based on Lyapunov stability theory combined with the linear matrix inequality (LMI) technique, delay-dependent stability and stabilization conditions are proposed. Furthermore, sufficient conditions for the existence of guaranteed cost controllers are derived. Finally, a numerical example is used to illustrate the effectiveness and feasibility of the approaches proposed in this paper.2008-12-31T13:30:00ZFault-tolerant control for a near space vehicle with a stuck actuator fault based on a Takagi-Sugeno fuzzy modelGao, Z.Jiang, B.Shi, P.Xu, Y.http://hdl.handle.net/2440/848812014-09-02T01:14:39Z2009-12-31T13:30:00ZTitle: Fault-tolerant control for a near space vehicle with a stuck actuator fault based on a Takagi-Sugeno fuzzy model
Author: Gao, Z.; Jiang, B.; Shi, P.; Xu, Y.
Abstract: Based on both adaptive and fuzzy control techniques, this paper proposes a fault-tolerant control (FTC) approach for near space vehicle (NSV) re-entry attitude dynamics with a stuck actuator fault. A Takagi-Sugeno fuzzy model is used to describe complex NSV attitude dynamics. The principle of this FTC approach is to design an iterative learning observer, which is used to estimate the system state and produce control input adjustment and then to reconfigure the control law to compensate for the effect of the stuck actuator. The FTC scheme ensures that the NSV output dynamics asymptotically track that of a reference model under both fault-free conditions and with a stuck actuator. The boundedness of the error dynamics is analysed using the Lyapunov stability theory. Finally, simulation results are given to illustrate the effectiveness and potential of the proposed FTC technique.2009-12-31T13:30:00ZSampled-data exponential stabilization of a class of non-linear stochastic systemsWu, J.Shi, P.http://hdl.handle.net/2440/848772014-09-02T01:00:42Z2009-12-31T13:30:00ZTitle: Sampled-data exponential stabilization of a class of non-linear stochastic systems
Author: Wu, J.; Shi, P.
Abstract: In this paper, the problem of sampled-data exponential stabilization of non-linear stochastic systems with interval parameter uncertainties is considered. The parameter uncertainties are characterized by a matrix bound which is natural in real applications and the non-linearity is assumed to satisfy the boundedness condition. By using the input delay approach, the stochastic sampled-data system is transformed into a stochastic continuous time-delay system. State-feedback and output-feedback controller designs for the non-linear stochastic systems are proposed based on the exponential stability condition such that the system is robustly exponentially stable. Finally, an illustrative example is provided to show the effectiveness of the proposed approach.2009-12-31T13:30:00ZFinite-time continuous gain-scheduled control on stochastic hyperchaotic systemsYin, Y.Liu, F.Shi, P.http://hdl.handle.net/2440/848762014-09-02T00:59:08Z2009-12-31T13:30:00ZTitle: Finite-time continuous gain-scheduled control on stochastic hyperchaotic systems
Author: Yin, Y.; Liu, F.; Shi, P.
Abstract: In the present paper, a finite-time continuous gain-scheduled control problem is studied for a class of stochastic Markov jump hyperchaotic systems with state delays. By means of the gradient linearization method, the non-linear jump system is constructed by a series of linear jump models at selected working states. Then, based on the stochastic Lyapunov—Krasovskii functional approach, a new robust stochastic finite-time stabilization criterion is established and the finite-time H∞ controller is formulated for each linear jump model in the form of linear matrix inequalities. Finally, for such stochastic non-linear hyperchaotic system, the continuous gain-scheduled method is adopted and continuous finite-time gain-scheduled H∞ controllers are designed. The simulation example shows the effectiveness of the proposed techniques.2009-12-31T13:30:00Z