Developments in Model-Based Optimization and Control: Distributed Control and Industrial Applications: 464 (Lecture Notes in Control and Information Sciences, 464) - Image 1

£79.00

Springer Developments in Model-Based Optimization and Control: Distributed Control and Industrial Applications: 464 (Lecture Notes in Control and Information Sciences, 464)

Name: Developments in Model-Based Optimization and Control: Distributed Control and Industrial Applications: 464 (Lecture Notes in Control and Information Sciences, 464)
Brand: Springer
Price: 75.73 GBP
Availability: InStock

Library & Information Sciences

Price History & Forecast

Last 34 days • 34 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 34 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £76 (22 days, 64.7%)

Price range: £76 - £79

Price levels: 2 different prices over 34 days

Description

This 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.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 3319266853
Category: Books > Subjects > Reference > Library & Information Sciences
Domain: Amazon UK
Release Date: 25 January 2016
Listed Since: 08 October 2015

Barcode

No barcode data available

Springer Developments in Model-Based Optimization and Control: Distributed Control and Industrial Applications: 464 (Lecture Notes in Control and Information Sciences, 464)

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Predictive Control: Fundamentals and Developments

Springer Networked and Distributed Predictive Control Book

Handbook of Model Predictive Control (Control Engineering)

Recent Advances in Model Predictive Control: Theory, Algorithms, and Applications: 485 (Lecture Notes in Control and Information Sciences, 485)

Springer Reinforcement Learning for Optimal Feedback Control

Springer - Reinforcement Learning for Optimal Feedback Control

Economic Model Predictive Control: Theory, Formulations and Chemical Process Applications (Advances in Industrial Control)

Advanced Optimization for Motion Control Systems

Optimization and Optimal Control in Automotive Systems: 455 (Lecture Notes in Control and Information Sciences, 455)

Model Predictive Control in the Process Industry (Advances in Industrial Control)

Model Predictive Control: Classical, Robust and Stochastic (Advanced Textbooks in Control and Signal Processing)

Model Predictive Control: Classical, Robust and Stochastic (Advanced Textbooks in Control and Signal Processing)

Nonlinear Model Predictive Control of Combustion Engines: From Fundamentals to Applications (Advances in Industrial Control)

Introduction to Process Control: Analysis, Mathematical Modeling, Control and Optimization (Springer Texts in Business and Economics)

Introduction to Process Control: Analysis, Mathematical Modeling, Control and Optimization (Springer Texts in Business and Economics)

The Koopman Operator in Systems and Control: Concepts, Methodologies, and Applications: 484 (Lecture Notes in Control and Information Sciences, 484)

Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms and Tools (Advances in Industrial Control)

The Koopman Operator in Systems and Control: Concepts, Methodologies, and Applications: 484 (Lecture Notes in Control and Information Sciences, 484)

Modeling and Control of Batch Processes: Theory and Applications (Advances in Industrial Control)

Nonlinear Model Predictive Control of Combustion Engines: From Fundamentals to Applications (Advances in Industrial Control)

Recent Advances in Control and Filtering of Dynamic Systems with Constrained Signals: 170 (Studies in Systems, Decision and Control)

Bio-Inspired Collaborative Intelligent Control and Optimization: 118 (Studies in Systems, Decision and Control, 118)

Multivariable Feedback Control: Analysis and Design

Adaptive Control: Methods, Applications and Research (Systems Engineering Methods, Developments and Technology)