LEADER 02367nam 22004453a 450 001 9910346675403321 005 20250203235435.0 010 $a9783038974482 010 $a303897448X 024 8 $a10.3390/books978-3-03897-448-2 035 $a(CKB)4920000000094913 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/55329 035 $a(ScCtBLL)3c26db7e-353f-425e-86b9-38a752befa4c 035 $a(OCoLC)1163832472 035 $a(oapen)doab55329 035 $a(EXLCZ)994920000000094913 100 $a20250203i20182019 uu 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aOptimization in Control Applications$fFrancisco Ronay López-Estrada, Guillermo Valencia-Palomo 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2019 210 1$aBasel, Switzerland :$cMDPI,$d2018. 215 $a1 electronic resource (256 p.) 311 08$a9783038974475 311 08$a3038974471 330 $aMathematical 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. 610 $aoptimization 610 $aoptimal control 610 $aoptimal conditions 700 $aLópez-Estrada$b Francisco Ronay$01300057 702 $aValencia-Palomo$b Guillermo 801 0$bScCtBLL 801 1$bScCtBLL 906 $aBOOK 912 $a9910346675403321 996 $aOptimization in Control Applications$94318004 997 $aUNINA