T-S-model-based Quantized Guaranteed Cost Control Of Wireless Networked Systems

The quantized guaranteed cost control for a wireless networked control system, which isformulated by the T-S fuzzy models, is studied in this thesis. The main works are listed asfollows:1、An uncertain continuous-time Takagi-Sugeno(T-S) fuzzy networked control systemwith logarithmic quantization and fuzzy state feedback of time-varying delays is concerned.A model with simultaneous consideration of network induced delays and packet dropouts isproposed. Based on the common Lyapunov functional approach and improved amplificationinequality, a less conservative guaranteed cost controller is formulated in the form of linearmatrix inequalities(LMIs) and the sub-optimal solution is obtained by cone complementaritylinearization(CCL) algorithm. Numerical examples illustrate the effectiveness of the proposedapproach.2、An uncertain continuous-time Takagi-Sugeno(T-S) fuzzy networked control systemwith state delays is concerned, and introduced logarithmic quantization and fuzzy dynamic out-put feedback. Based on the public Lyapunov functional approach, the existence of guaranteedcost controller is formulated in the form of linear matrix inequalities(LMIs) and the sub-optimalsolution is obtained by cone complementarity linearization(CCL) algorithm. Numerical exam-ples illustrate the effectiveness of the proposed method.3、An uncertain continuous-time Takagi-Sugeno(T-S) fuzzy networked control systemwith logarithmic quantization and fuzzy state feedback of time-varying delays is concerned.A less conservative existence and a better performance index are derived based on the fuzzyLyapunov functional approach in the process of designing guaranteed cost controller. Numericalexamples illustrate the effectiveness of the proposed method which is compared with commonLyapunov functional approach.