:: ICCAS 2015 ::

TB06		[OS] State Estimation and Applications
Time : 13:00~14:30 Room : 206		Chair : Choon Ki Ahn (Korea University, )



13:00~13:15	TB06-1

Exponential Stabilization for Discret-Time Uncertain 2-D Switched Systems
Rongni Yang(Shandong University, China), Peng Shi(The University of Adelaide, Australia)

In this paper, the problem of exponential stabilization is investigated for a class of discrete-time uncertain two-dimensional switched systems. Firstly, the extended average dwell time technique is developed and the exponential stability condition is established for such uncertain systems under the restricted switching signal. Then sufficient conditions for the existence of an admissible controller are given to ensure the exponential stability of the resulting closed-loop system. Finally, an example is provided to illustrate the effectiveness of the proposed new design technique.



13:15~13:30	TB06-2

H∞ FIR Filter Design With Missing Measurements
Seo Won Lee, Chang Joo Lee, Myo Taeg Lim(Korea Univ., Korea, Republic of ), Choon Ki Ahn(Korea University, Korea, Republic of )

This paper proposes a new H∞ FIR filter with missing measurements for linear systems with disturbance. The measurements are transmitted from the plant to the filter imperfectly due to random packet loss or fault of sensors. The Bernoulli random process is used to describe the measurements missing phenomena. The proposed FIR filter is in the form of linear matrix inequalities (LMIs) and the gain matrix can be obtained by solving a convex optimization problem. A simulation example is given to illustrate the effectiveness of the proposed H∞ FIR filter compared to the conventional H∞ FIR filter.



13:30~13:45	TB06-3

Fault detection for a class of stochastic systems with unknown disturbance
Yanhao Zhan, Zehui Mao, Bin Jiang, Mou Chen(Nanjing University of Aeronautics and Astronautics, China)

The paper deals with fault detection of stochastic discrete systems with the consideration of unknown disturbance and noises, which are modelled as time-varying parameters and stochastic process, respectively. The disturbance decoupled observer design problem is investigated for the reconstructed singularity system which contains the states and disturbance. Then using hypothesis test technique, the residual generated by the designed observer is analyzed and a set of necessary conditions to the fault detectability is considered...



13:45~14:00	TB06-4

Stabilization Analysis for Discrete-Time Fuzzy Systems via Nonuniform Delay Partitioning Technique
Fengqin Xia, Xiaojie Su(Chongqing University, China), Peng Shi(The University of Adelaide, Australia)

This paper is concerned with the stability analysis problem for discrete-time Takagi-Sugeno (T-S) fuzzy systems with time-varying delay. By utilizing the idea of partitioning the delay interval into l nonuniform subintervals and the reciprocally convex technique, a novel fuzzy Lyapunov-Krasovskii function is constructed to reduce the conservatism of stability conditions. The conservatism reduction becomes more obvious with the partitioning getting thinner. Then, on the basis of parallel distributed compensation (PDC) law, the state-feedback fuzzy controller can be designed.



14:00~14:15	TB06-5

Observer-Based Control Design for a Class of Nonlinear Systems Subject to Unknown Inputs: LMI Approach
Saleh Sayyaddelshad, Thomas Gustafsson(Luleå University of Technology, Sweden), Hamid Reza Karimi(University of Agder, Norway), Ali Zemouche(University of Lorraine, France)

This paper deals with the problem of observer-based controller design for a class of nonlinear systems subject to unknown inputs. A novel method is presented to design a controller using estimated state variables which guarantees all the state variables of the closed-loop system converge to the vicinity of the origin and stay there forever. In light of linear algebra, particularly matrix decompositions, the achieved conditions are presented in terms of Linear Matrix Inequalities to facilitate the procedure of computing the observer and controller gains.