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008			180814s2019 si a o |||| 0|eng d
020			_a9789811300837 _9
024	7		_a10.1007/978-981-13-0083-7 _2doi
040			_bspa _dES-MaUEC
050		4	_aTJ217.6 _b2019 EB
100	1		_aZhang, Ridong. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aModel Predictive Control : _bApproaches Based on the Extended State Space Model and Extended Non-minimal State Space Model _cby Ridong Zhang [y otros dos]
264		1	_aSingapore _bSpringer Singapore : _bImprint: Springer _c2019.
300			_a1 recurso en línea (XV, 137 páginas) _b28 ilustraciones,25 ilustraciones a color
347			_atext file _bPDF
505	0		_aIntroduction -- Model Predictive Control Based on Extended State Space Model -- Predictive Functional Control Based on Extended State Space Model -- Model Predictive Control Based on Extended Non-Minimal State Space Model -- Predictive Functional Control Based on Extended Non-minimal State Space Model -- Model Predictive Control Under Constraints -- PID Control Using Extended Non-minimal State Space Model Optimization -- Closed-loop System Performance Analysis -- Model Predictive Control Performance Optimized by Genetic Algorithm -- Industrial Application -- Further Ideas on MPC and PFC Using Relaxed Constrained Optimization.
520	3		_aThis monograph introduces the authors' work on model predictive control system design using extended state space and extended non-minimal state space approaches. It systematically describes model predictive control design for chemical processes, including the basic control algorithms, the extension to predictive functional control, constrained control, closed-loop system analysis, model predictive control optimization-based PID control, genetic algorithm optimization-based model predictive control, and industrial applications. Providing important insights, useful methods and practical algorithms that can be used in chemical process control and optimization, it offers a valuable resource for researchers, scientists and engineers in the field of process system engineering and control engineering.
650		7	_aControl automático _2embne _9405125
710	2		_aSpringerLink (Online service) _9106996
776	0	8	_iPrinted edition: _z9789811300820
776	0	8	_iPrinted edition: _z9789811300844
776	0	8	_iPrinted edition: _z9789811343261
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-13-0083-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
942			_2lcc _cLE
988			_aPrimersemestre_2019_Robotics
998			_aSI _a_alco _a_vill _b10/2019 _cm _dz _ea _feng _ggw _h0
999			_c111305 _d111305 _x1