title: A dual-model jumping fuzzy system approach to networked control systems design.
abstract: A discrete-time jump fuzzy system with two hidden Markov models (HMMs) is proposed to portray the asymmetric network characteristic of a class of nonlinear networked control systems (NCSs) with random but bounded communication delays and packets dropout. The less conservative state feedback controller and the dual-model-depend guaranteed cost controller are designed base on the model. A homotopy- based iterative algorithm solving for nonlinear matrix inequality (NMI) is developed to get the control gains. Simulation examples are carried out to show the effectiveness of the proposed approaches.
authors.affiliation: State Key Laboratory of Intelligent Technology and Systems, Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China.
authors.forename: Fengge
authors.initials: F
authors.lastname: Wu
authors.forename: Fuchun
authors.initials: F
authors.lastname: Sun
authors.forename: Huaping
authors.initials: H
authors.lastname: Liu
mesh_terms: D000465:Algorithms; D017143:Fuzzy Logic; D006801:Humans; D008390:Markov Chains; D016571:Neural Networks, Computer; D017711:Nonlinear Dynamics; D010363:Pattern Recognition, Automated; D013997:Time Factors