Model-Based Control:, Paul M.J. van den Hof; Carsten Scherer; Peter S.C.

Автор: Sul
Название: Control of Electric Machine Drive Systems
ISBN: 0470590793 ISBN-13(EAN): 9780470590799
Издательство: Wiley
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Описание: Based on the author`s industry experience and collaborative works with other industries, Control of Electric Machine Drive System is packed with implemented, tested, and verified ideas that relate to everyday problems in the field.

Автор: Tahirovic Adnan
Название: Passivity-based Model Predictive Control for Mobile Vehicle
ISBN: 1447150481 ISBN-13(EAN): 9781447150480
Издательство: Springer
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Цена: 6986.00 р.
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Описание: Passivity-based Model Predictive Control for Mobile Vehicle Navigation represents a complete theoretical approach to the adoption of passivity-based model predictive control (MPC) for autonomous vehicle navigation in both indoor and outdoor environments.

Автор: Kunihiko Ichikawa
Название: Control System Design based on Exact Model Matching Techniques
ISBN: 3540157727 ISBN-13(EAN): 9783540157724
Издательство: Springer
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Цена: 14365.00 р.
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Автор: Rainer Palm; K.M. Passino; Dimiter Driankov; Hans
Название: Model Based Fuzzy Control
ISBN: 3540614710 ISBN-13(EAN): 9783540614715
Издательство: Springer
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Цена: 9362.00 р.
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Описание: This comprehensive and modern text on model based fuzzy control and its relationship to conventional control is intended to serve as a guide for scientists and practitioners and to provide material on fuzzy control as an addition to courses in control theory.

Автор: Hak-Keung Lam; Allen Leung
Название: Stability Analysis of Fuzzy-Model-Based Control Systems
ISBN: 3642422969 ISBN-13(EAN): 9783642422966
Издательство: Springer
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Цена: 19564.00 р.
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Описание: Summarizing the latest work in the field, this book offers readers a number of approaches to designing stable and efficient FMB control systems, and includes detailed analysis and derivation steps to enable novices to follow the materials effectively.

Автор: Hans Irschik; Michael Krommer; Kazumi Watanabe; To
Название: Mechanics and Model-Based Control of Smart Materials and Structures
ISBN: 3211994831 ISBN-13(EAN): 9783211994832
Издательство: Springer
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Цена: 23508.00 р.
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Описание: Mechanics and model-based control continue to expand as fundamental mechatronics disciplines. Focusing on smart materials, this volume examines topics like piezoelectric actuation, active and passive damping, and smart structure vibrations and waves.

Автор: Alexander K. Belyaev; Hans Irschik; Michael Kromme
Название: Mechanics and Model-Based Control of Advanced Engineering Systems
ISBN: 3709115701 ISBN-13(EAN): 9783709115701
Издательство: Springer
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Цена: 20896.00 р.
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Описание: Mechanics and Model-Based Control of Advanced Engineering Systems collects 32 contributions presented at the International Workshop on Advanced Dynamics and Model Based Control of Structures and Machines, which took place in St. Petersburg, Russia in July 2012.

Автор: Eloy Garcia; Panos J. Antsaklis; Luis A. Montestru
Название: Model-Based Control of Networked Systems
ISBN: 331907802X ISBN-13(EAN): 9783319078021
Издательство: Springer
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Цена: 15372.00 р.
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Описание:

This monograph introduces a class of networked control systems (NCS) called model-based networked control systems (MB-NCS) and presents various architectures and control strategies designed to improve the performance of NCS. The overall performance of NCS considers the appropriate use of network resources, particularly network bandwidth, in conjunction with the desired response of the system being controlled.

The book begins with a detailed description of the basic MB-NCS architecture that provides stability conditions in terms of state feedback updates. It also covers typical problems in NCS such as network delays, network scheduling, and data quantization, as well as more general control problems such as output feedback control, nonlinear systems stabilization, and tracking control.

Key features and topics include:

• Time-triggered and event-triggered feedback updates
• Stabilization of uncertain systems subject to time delays, quantization, and extended absence of feedback
• Optimal control analysis and design of model-based networked systems
• Parameter identification and adaptive stabilization of systems controlled over networks
• The MB-NCS approach to decentralized control of distributed systems

Model-Based Control of Networked Systems will appeal to researchers, practitioners, and graduate students interested in the control of networked systems, distributed systems, and systems with limited feedback.

Автор: Paul M.J. van den Hof; Carsten Scherer; Peter S.C.
Название: Model-Based Control:
ISBN: 1489983724 ISBN-13(EAN): 9781489983725
Издательство: Springer
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Цена: 23757.00 р.
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Описание: This book contains a collection of contributions written in honor of Professor Okko Bosgra`s sixty-fifth birthday. It follows his lifelong idea of establishing a unified research agenda that covers a wide cross-section of the model-based control field.

Автор: Alexander K. Belyaev; Hans Irschik; Michael Kromme
Название: Mechanics and Model-Based Control of Advanced Engineering Systems
ISBN: 370911957X ISBN-13(EAN): 9783709119570
Издательство: Springer
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Цена: 15672.00 р.
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Описание: Mechanics and Model-Based Control of Advanced Engineering Systems collects 32 contributions presented at the International Workshop on Advanced Dynamics and Model Based Control of Structures and Machines, which took place in St. Petersburg, Russia in July 2012.

Автор: Hans Irschik; Michael Krommer; Alexander K. Belyae
Название: Advanced Dynamics and Model-Based Control of Structures and Machines
ISBN: 3709117089 ISBN-13(EAN): 9783709117088
Издательство: Springer
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Цена: 15672.00 р.
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Описание: Based on a Russian-Austrian Joint Workshop held in Linz, Austria, in April 2010, this volume presents up-to-date research in nonlinear control of structures and systems, sensing and actuation, active and passive damping, nano- and micromechanics, and vibrations and waves.

Автор: Sorin Olaru; Alexandra Grancharova; Fernando Lobo
Название: Developments in Model-Based Optimization and Control
ISBN: 3319266853 ISBN-13(EAN): 9783319266855
Издательство: Springer
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Цена: 16979.00 р.
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Описание:

Introduction.- Part I. Complexity and Structural Properties of Linear Model Predictive Control.- 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.- Part II. Distributed-coordinated and Multi-objective Features of 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.- Part III. Collaborative 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.- Part IV. Applications of Optimization-based Control and Identification.- 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.- Part V. Optimization-based Analysis and Design for Particular Classes of Dynamical Systems.- 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.