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007			cr nn nnnaamaa
008			190521s2019 gw a o |||| 0|eng d
020			_a9783030174057 _9
024	7		_a10.1007/978-3-030-17405-7 _2doi
040			_bspa _dES-MaUEC
050		4	_aTJ217.6 _b2019 EB
100	1		_aKlaučo, Martin. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aMPC-Based Reference Governors : _bTheory and Case Studies _cby Martin Klaučo [y otro más]
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2019.
300			_a1 recurso en línea (XXIII, 137 páginas) _b46 ilustraciones,24 ilustraciones a color
347			_atext file _bPDF
490	0		_aAdvances in Industrial Control _x1430-9491
505	0		_aReference Governors -- Part I: Theory -- Mathematical Preliminaries and General Optimization -- Model Predictive Control -- Inner Loops with PID Controllers -- Inner Loops with Relay-Based Controllers -- Inner Loops with LQ Controllers -- Inner Loops with Model Predictive Controllers -- Part II: Case Studies -- Boiler-Turbine System -- Magnetic-Levitation Process -- Thermostatically Controlled Indoor Temperature -- Cascade Model Predictive Control of Chemical Reactors -- Conclusions and Future Work.
520	3		_aThis monograph focuses on the design of optimal reference governors using model predictive control (MPC) strategies. These MPC-based governors serve as a supervisory control layer that generates optimal trajectories for lower-level controllers such that the safety of the system is enforced while optimizing the overall performance of the closed-loop system. The first part of the monograph introduces the concept of optimization-based reference governors, provides an overview of the fundamentals of convex optimization and MPC, and discusses a rigorous design procedure for MPC-based reference governors. The design procedure depends on the type of lower-level controller involved and four practical cases are covered: PID lower-level controllers; linear quadratic regulators; relay-based controllers; and cases where the lower-level controllers are themselves model predictive controllers. For each case the authors provide a thorough theoretical derivation of the corresponding reference governor, followed by illustrative examples. The second part of the book is devoted to practical aspects of MPC-based reference governor schemes. Experimental and simulation case studies from four applications are discussed in depth: control of a power generation unit; temperature control in buildings; stabilization of objects in a magnetic field; and vehicle convoy control. Each chapter includes precise mathematical formulations of the corresponding MPC-based governor, reformulation of the control problem into an optimization problem, and a detailed presentation and comparison of results. The case studies and practical considerations of constraints will help control engineers working in various industries in the use of MPC at the supervisory level. The detailed mathematical treatments will attract the attention of academic researchers interested in the applications of MPC.
650		7	_aControl automático _2embne _9405125
710	2		_aSpringerLink (Online service) _9106996
776	0	8	_iPrinted edition: _z9783030174040
776	0	8	_iPrinted edition: _z9783030174064
776	0	8	_iPrinted edition: _z9783030174071
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-17405-7 _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			_c111253 _d111253 _x1