Optimization in Control Applications

Mathematical optimization is the selection of the best element in a set with respect to a given criterion. Optimization has become one of the most-used tools in modern control theory for computing the control law, adjusting the controller parameters (tuning), model fitting, and finding suitable cond...

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Bibliographic Details
Main Author: Francisco Ronay López-Estrada (Ed.) (auth)
Other Authors: Guillermo Valencia-Palomo (Ed.) (auth)
Format: Book Chapter
Published: MDPI - Multidisciplinary Digital Publishing Institute 2019
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Online Access:Get Fullteks
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041 0 |a English 
042 |a dc 
100 1 |a Francisco Ronay López-Estrada (Ed.)  |4 auth 
700 1 |a Guillermo Valencia-Palomo (Ed.)  |4 auth 
245 1 0 |a Optimization in Control Applications 
260 |b MDPI - Multidisciplinary Digital Publishing Institute  |c 2019 
300 |a 1 electronic resource (256 p.) 
506 0 |a Open Access  |2 star  |f Unrestricted online access 
520 |a Mathematical optimization is the selection of the best element in a set with respect to a given criterion. Optimization has become one of the most-used tools in modern control theory for computing the control law, adjusting the controller parameters (tuning), model fitting, and finding suitable conditions in order to fulfill a given closed-loop property, among others. In the simplest case, optimization consists of maximizing or minimizing a function by systematically choosing input values from a valid input set and computing the function value. Nevertheless, real-world control systems need to comply with several conditions and constraints that have to be taken into account in the problem formulation-these represent challenges in the application of the optimization algorithms. The aim of this Special Issue is to offer the state-of-the-art of the most advanced optimization techniques (online and offline) and their applications in control engineering.] 
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546 |a English 
653 |a optimization 
653 |a optimal control 
653 |a optimal conditions 
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