Titlebook: Adaptive and Learning Systems; Theory and Applicati Kumpati S. Narendra Book 1986 Springer Science+Business Media New York 1986 Adaptive co

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Dielectric and Magnetic Materials,ompared with conventional PID-control and state-feedback control. It is shown that the application of adaptive control yields satisfactory disturbance rejection as well as considerable reduction of energy costs. By the high degree of maturity these adaptive techniques represent a powerful practical

核心

Dielectric and Magnetic Materials,pany’s current electronic controllers. The delay in market entry was a consequence of a design, incredible (for different reasons) to both academic and practitioner. Yet it evolved not as a regression from the now standard, theory motivated, model-based designs, but as an artificial intelligence rel

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Basic Electromagnetism and MaterialsE) formulations of robot dynamics. We transform the nonlinear (in dynamic parameters) N-E dynamic robot model into the equivalent linear (in dynamic parameters) L-E dynamic robot model. We cast the L-E torque/force error model into the series and parallel identifier structures for on-line and off-li

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