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Many problems in decision making, monitoring, fault detection, and control require the knowledge of state variables and time-varying parameters that are not directly measured by sensors. In such situations, observers, or estimators, can be employed that use the measured input and output signals along with a dynamic model of the system in order to estimate the unknown states or parameters. An essential requirement in designing an observer is to guarantee the convergence of the estimates to the true values or at least to a small neighborhood around the true values. However, for nonlinear,...

Focusing on the Takagi Sugeno (TS) fuzzy model, this volume provides a range of methods and tools to design observers for nonlinear systems. Readers will find an in-depth theoretic analysis accompanied by illustrative examples and simulations of real-world systems.