Finite-Dimensional Digital Design of Continuous-Time Model-Reference Adaptive Control Systems for Distiributed-Parameter Systems

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[1] Adaptive Control and Robust Control of Distributed-Parameter Systems(a) A practical design method of Model-Refrence Adaptive Control Systems (MRACS) for a diffusion system is presented using a finite-dimensional adaptive observer. The eventually asymptotical stability of the MRACS is guaranteed with consideration of the spillover.(b) A vibration control of a thin flexible beem system with a movable terminal is considered. A design technique of H-inf control systems is presented in the basis of the derived mathematical model. The control strategy is compared with LQG/LTR control.[2] Exact Model Matching Control and Robust Control for Nonlinear Systems(a) An inverted pendulum system is treated as a class of nonlinear mechanical systems. A new exact model matching control which is applicable to nonlinear mechanical systems, is presented.(b) A fuzzy sliding mode control is proposed for control of an inverted pendulum system. The stability of the control system is investigated.[3] Identification of Continuous-and Discrete-Time Systems(a) An identification technique based on the Gauss Newton-type with extremum searching is presented and applied to a rotary cultivator.(b) Linear Integral filter (LIF) method and Dynamic Simulator (DS) method are applied to the problem of identifying parameters of an inverted pendulum system.(c) The edge-adaptive identification with multiple forgetting factors and the Kalman filter-type restoration are applied to real images, and their effectiveness is proven by some examples.