Target Tracking Including Multiple Targets with Multiple Sensors
Gerald Cook · 2011
If a plant has a model in the form of a Takagi-Sugeno (T-S) fuzzy system that interpolates linear dynamic systems, which we call the plant fuzzy system, one approach to stabilizing it is called parallel distributed control (PDC). The rules of the plant fuzzy system have consequents that are dynamic linear systems in continuous- or discrete- time normal state space form, or linear input-output difference equation form. If the plant fuzzy system consists of plants described by normal form state equations, the controller fuzzy system's consequents are linear state feedback laws. This type of PDC results in nonlinear state regulation. Regulation is guaranteed if the feedback law satisfies a series of linear matrix inequalities (LMI). If the plant fuzzy system consists of plants described by input-output difference equations, the controller fuzzy system consequents can be either tracking control laws or model reference control laws. Controlled Vocabulary Terms continuous time systems; discrete time systems; fuzzy systems