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020 _a3319513176
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020 _a9783319513171
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020 _z331951315X
020 _z9783319513157
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035 _a(OCoLC)971492708
_z(OCoLC)971594724
_z(OCoLC)971924632
_z(OCoLC)972155736
_z(OCoLC)972205310
_z(OCoLC)972395330
_z(OCoLC)972577698
_z(OCoLC)972813566
_z(OCoLC)972982460
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_z(OCoLC)1005775390
_z(OCoLC)1012064199
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050 4 _aTL221.15
_bB646 2017 EB
100 1 _aBöhme, Thomas J.,
_eautor
245 1 0 _aHybrid systems, optimal control and hybrid vehicles :
_btheory, methods and applications
_cThomas J. Böhme, Benjamin Frank.
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 _aAdvances in industrial control
_x1430-9491
500 _aSpringerLink
_bSpringer Engineering eBooks 2017 English+International
504 _aIncluye referencias bibliográficas e índice
505 0 _aSeries Editors' Foreword; Preface; Intended Readership; What are the Contributions of This Book; What is Not Covered in This Book; Structure of the Book; Acknowledgements; Contents; Abbreviations and Symbols; 1 Introduction; 1.1 Motivation, Challenges, and Objectives; 1.2 Vehicle Design Aspects; 1.2.1 Stages of Energy Conversion; 1.2.2 Real-World Driving Profile, Consumption, and Emissions; 1.3 Process Model, Control Strategy, and Optimization; 1.3.1 General Problem Statement; 1.3.2 Energy Management; 1.3.3 Numerical Solutions; 1.4 Bibliographical Notes; References.
505 8 _a2.4.3 Approximation of the Perturbed Solution2.4.4 Approximation of the Confidence Region; 2.5 Multi-Objective Optimization; 2.5.1 Elitist Multi-Objective Evolutionary Algorithm; 2.5.2 Remarks for MOGAs; 2.6 Bibliographical Notes; References; 3 Hybrid Systems and Hybrid Optimal Control; 3.1 Introduction; 3.2 System Definition; 3.2.1 Continuous Systems; 3.2.2 Hybrid Systems; 3.2.3 Controlled Hybrid Systems and Switched Systems; 3.2.4 Existence and Uniqueness of Admissible States and Controls; 3.2.5 Control and State Constraints, Admissible Sets, and Admissible Function Spaces.
505 8 _a3.2.6 Reformulation of Switched Systems3.3 Optimal Control Problem Formulations; 3.3.1 Functionals; 3.3.2 Boundary Conditions; 3.3.3 Continuous Optimal Control Problem; 3.3.4 Hybrid Optimal Control Problem; 3.3.5 Switched Optimal Control Problem; 3.3.6 Binary Switched Optimal Control Problem; 3.3.7 Transformations of Optimal Control Problems; 3.4 Bibliographical Notes; References; 4 The Minimum Principle and Hamilton -- Jacobi -- Bellman Equation; 4.1 Introduction; 4.1.1 The Calculus of Variations; 4.1.2 Deriving First-Order Necessary Conditions for an Extremum of an Optimal Control Problem.
505 8 _a4.2 Minimum Principle4.2.1 Necessary Conditions for Optimal Control Problems with Control Restraints; 4.2.2 Necessary Conditions for Optimal Control Problems with State Constraints; 4.2.3 Necessary Conditions for Optimal Control Problems with Affine Controls; 4.3 Hamilton -- Jacobi -- Bellman Equation; 4.4 Hybrid Minimum Principle; 4.4.1 Necessary Conditions for Switched Optimal Control Problems Without State Jumps; 4.4.2 Necessary Conditions for Switched Optimal Control Problems with State Jumps; 4.4.3 Revisited: Necessary Conditions for a State Constrained Optimal Control Problem; 4.5 Existence.
505 8 _aPart I Theory and Formulations2 Introduction to Nonlinear Programming; 2.1 Introduction; 2.2 Unconstrained Nonlinear Optimization; 2.2.1 Necessary and Sufficient Conditions for Optimality; 2.2.2 Newton -- Raphson Method; 2.2.3 Globalization of the Newton -- Raphson Method; 2.2.4 Quasi-Newton Method; 2.3 Constrained Nonlinear Optimization; 2.3.1 Necessary and Sufficient Conditions for Optimality; 2.3.2 Projected Hessian; 2.3.3 Sequential Quadratic Programming; 2.4 Sensitivity Analysis; 2.4.1 Sensitivity Analysis of the Objective Function and Constraints; 2.4.2 Linear Perturbations.
520 3 _aThis book assembles new methods showing the automotive engineer for the first time how hybrid vehicle configurations can be modeled as systems with discrete and continuous controls. These hybrid systems describe naturally and compactly the networks of embedded systems which use elements such as integrators, hysteresis, state-machines and logical rules to describe the evolution of continuous and discrete dynamics and arise inevitably when modeling hybrid electric vehicles. They can throw light on systems which may otherwise be too complex or recondite. Hybrid Systems, Optimal Control and Hybrid Vehicles shows the reader how to formulate and solve control problems which satisfy multiple objectives which may be arbitrary and complex with contradictory influences on fuel consumption, emissions and drivability. The text introduces industrial engineers, postgraduates and researchers to the theory of hybrid optimal control problems. A series of novel algorithmic developments provides tools for solving engineering problems of growing complexity in the field of hybrid vehicles. Important topics of real relevance rarely found in text books and research publications?switching costs, sensitivity of discrete decisions and there impact on fuel savings, etc.?are discussed and supported with practical applications. These demonstrate the contribution of optimal hybrid control in predictive energy management, advanced powertrain calibration, and the optimization of vehicle configuration with respect to fuel economy, lowest emissions and smoothest drivability. Numerical issues such as computing resources, simplifications and stability are treated to enable readers to assess such complex systems. To help industrial engineers and managers with project decision-making, solutions for many important problems in hybrid vehicle control are provided in terms of requirements, benefits and risks. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
650 7 _9145606
_aControl, Teoría de
_2fast
_0(OCoLC)fst00877085
_0
700 1 _aFrank, Benjamin,
_eautor
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-51317-1
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988 _aEBOOK, asignarmaterias, EBSPRINGER_2017B
998 _b02/2018
_dz
_e-
_zSI
999 _c95328
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