"This book is focused on model-based control design for renewable energy power plants (RPPs), formulated as convex optimization problems. These formulations allow for an automated generation of feed-forward gains, feedback, and observer gains with respect to the considered plant models, control requirements and design criteria. The aim of the book is to create a generic access to the problem of regenerative-energy power generation from the perspective of control engineering. (Takagi-Sugeno fuzzy models are nonlinear systems ...
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"This book is focused on model-based control design for renewable energy power plants (RPPs), formulated as convex optimization problems. These formulations allow for an automated generation of feed-forward gains, feedback, and observer gains with respect to the considered plant models, control requirements and design criteria. The aim of the book is to create a generic access to the problem of regenerative-energy power generation from the perspective of control engineering. (Takagi-Sugeno fuzzy models are nonlinear systems, in which the consequent part of a fuzzy rule is a mathematical formula, representing local dynamics. The strong property of the TSF can find several applications modeling dynamical systems that can be described by differential equations). The book requires a basic understanding of control engineering, modelling of dynamic systems, and control of electrical machines. For the practical exercises, knowledge of MATLAB/SIMULINK is an advantage, but not essential."--
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Fine. Sewn binding. Cloth over boards. 288 p. IEEE Press. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
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