000 05687nam a22005175i 4500
001 978-3-319-26687-9
003 DE-He213
005 20200421112051.0
007 cr nn 008mamaa
008 151223s2015 gw | s |||| 0|eng d
020 _a9783319266879
_9978-3-319-26687-9
024 7 _a10.1007/978-3-319-26687-9
_2doi
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aTEC004000
_2bisacsh
082 0 4 _a629.8
_223
245 1 0 _aDevelopments in Model-Based Optimization and Control
_h[electronic resource] :
_bDistributed Control and Industrial Applications /
_cedited by Sorin Olaru, Alexandra Grancharova, Fernando Lobo Pereira.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aXVIII, 381 p. 115 illus., 31 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Control and Information Sciences,
_x0170-8643 ;
_v464
505 0 _aIntroduction -- 1. Complexity Certifications of First Order Inexact Lagrangian Methods for General Convex Programming: Application to Real-time MPC -- 2. Fully Inverse Parametric Linear/Quadratic Programming Problems via Convex Liftings -- 3. Implications of Inverse Parametric Optimization in Model Predictive Control -- 4. Distributed Robust Model Predictive Control of Interconnected Polytopic Systems -- 5. Optimal Distributed-Coordinated Approach for Energy Management in Multisource Electric Power Generation Systems -- 6. Evolutionary-game-based Dynamical Tuning for Multi-objective Model Predictive Control -- 7. A Model Predictive Control-based Architecture for Cooperative Path-following of Multiple Unmanned Aerial Vehicles -- 8. Predictive Control for Path Following. From Trajectory Generation to the Parameterization of the Discrete Tracking Sequences -- 9. Formation Reconfiguration using Model Predictive Control Techniques for Multi-Agent Dynamical Systems -- 10. Optimal Operation of a Lumostatic Microalgae Cultivation Process -- 11. Bioprocesses Parameter Estimation by Heuristic Optimization Techniques -- 12. Real-time Experimental Implementation of Predictive Control Schemes in a Small-scale Pasteurization Plant -- 13. An Optimization-based Framework for Impulsive Control Systems -- 14. Robustness Issues in Control of Bilinear Discrete-Time Systems - Applied to the Control of Power Converters -- 15. On the LPV Control Design and its Applications to Some Classes of Dynamical Systems -- 16. Ultimate Bounds and Robust Invariant Sets for Linear Systems with State-dependent Disturbances -- 17. RPI Approximations of the mRPI Set Characterizing Linear Dynamics with Zonotopic Disturbances. .
520 _aThis book deals with optimization methods as tools for decision making and control in the presence of model uncertainty. It is oriented to the use of these tools in engineering, specifically in automatic control design with all its components: analysis of dynamical systems, identification problems, and feedback control design. Developments in Model-Based Optimization and Control takes advantage of optimization-based formulations for such classical feedback design objectives as stability, performance and feasibility, afforded by the established body of results and methodologies constituting optimal control theory. It makes particular use of the popular formulation known as predictive control or receding-horizon optimization. The individual contributions in this volume are wide-ranging in subject matter but coordinated within a five-part structure covering material on: � complexity and structure in model predictive control (MPC); � collaborative MPC; � distributed MPC; � optimization-based analysis and design; and � applications to bioprocesses, multivehicle systems or energy management. The various contributions cover a subject spectrum including inverse optimality and more modern decentralized and cooperative formulations of receding-horizon optimal control. Readers will find fourteen chapters dedicated to optimization-based tools for robustness analysis, and decision-making in relation to feedback mechanisms-fault detection, for example-and three chapters putting forward applications where the model-based optimization brings a novel perspective. Developments in Model-Based Optimization and Control is a selection of contributions expanded and updated from the Optimisation-based Control and Estimation workshops held in November 2013 and November 2014. It forms a useful resource for academic researchers and graduate students interested in the state of the art in predictive control. Control engineers working in model-based optimization and control, particularly in its bioprocess applications will also find this collection instructive.
650 0 _aEngineering.
650 0 _aSystem theory.
650 0 _aCalculus of variations.
650 0 _aControl engineering.
650 1 4 _aEngineering.
650 2 4 _aControl.
650 2 4 _aCalculus of Variations and Optimal Control; Optimization.
650 2 4 _aSystems Theory, Control.
700 1 _aOlaru, Sorin.
_eeditor.
700 1 _aGrancharova, Alexandra.
_eeditor.
700 1 _aLobo Pereira, Fernando.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319266855
830 0 _aLecture Notes in Control and Information Sciences,
_x0170-8643 ;
_v464
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-26687-9
912 _aZDB-2-ENG
942 _cEBK
999 _c57218
_d57218