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001			95906
003			ES-MaUEC
005			20230102112728.0
006			m o d
007			cr cnu|||unuuu
008			170502s2017 sz ob 001 0 eng d
020			_a3319542958 _q(electronic bk.)
020			_a9783319542959 _q(electronic bk.)
020			_z331954294X
020			_z9783319542942 _q(print)
040			_aN$T _cN$T _dGW5XE _dEBLCP _dYDX _dN$T _dUAB _dESU _dAZU _dUPM _dOCLCF _dSTF _dIDB _dVT2 _dOTZ _dOCLCQ _dIOG _dU3W _dMERUC _dES-MaUEC _bspa
050		4	_aQA9.64 _bA433 2017 EB
100	1		_aAmador, Leticia, _eautor
245	1	0	_aOptimization of type-2 fuzzy controllers using the bee colony algorithm _cLeticia Amador, Oscar Castillo.
264		1	_aCham, Switzerland _bSpringer _c2017.
300			_a1 recurso en línea
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	0		_aSpringerBriefs in applied sciences and technology, Computational intelligence _x2191-530X
500			_aSpringerLink _bSpringer Engineering eBooks 2017 English+International
504			_aIncluye referencias bibliográficas e índice
505	0		_aPreface; Contents; 1 Introduction; References; 2 Theory and Background; 2.1 Fuzzy Inference System; 2.1.1 Type-1 Fuzzy Logic Systems; 2.1.2 Interval Type-2 Fuzzy Logic Systems; 2.2 Fuzzy Controllers; References; 3 Problem Statements; 3.1 Water Tank Controller; 3.1.1 Model Equations of the Water Tank; 3.1.2 Design of the Fuzzy Controller; 3.2 Autonomous Mobile Robot Controller; 3.2.1 General Description of Problem; 3.2.2 Fuzzy Logic Control Design; References; 4 Bee Colony Optimization Algorithm; 4.1 Proposed Method; References; 5 Simulation Results for the Proposed Methods.
505	8		_a5.1 Simulation Results for the Water Tank Controller5.1.1 Results for the Original Bee Colony Optimization Algorithm; 5.1.2 Results for the Fuzzy Bee Colony Optimization Algorithm for the Water Tank Controller; 5.2 Results for the Original BCO for an Autonomous Mobile Robot; 5.2.1 Results for the Fuzzy BCO for an Autonomous Mobile Robot; 6 Statistical Analysis and Comparison of Results; 7 Conclusions; Appendix; Bibliograpy; Index.
520	3		_aThis book focuses on the fields of fuzzy logic, bio-inspired algorithm; especially bee colony optimization algorithm and also considering the fuzzy control area. The main idea is that this areas together can to solve various control problems and to find better results. In this book we test the proposed method using two benchmark problems; the problem for filling a water tank and the problem for controlling the trajectory in an autonomous mobile robot. When Interval Type-2 Fuzzy Logic System is implemented to model the behavior of systems, the results show a better stabilization, because the analysis of uncertainty is better. For this reason we consider in this book the proposed method using fuzzy systems, fuzzy controllers, and bee colony optimization algorithm improve the behavior of the complex control problems.
650		7	_aLógica difusa _2embne _0(OCoLC)fst00936807 _0 _9152594
700	1		_aCastillo, Oscar, _eautor _937054
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-54295-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988			_aEBOOK, asignarmaterias, EBSPRINGER_2017C
998			_b02/2018 _dz _e- _zSI
999			_c95906 _d95906 _x1