Nonlinear Model Predictive Control of Combustion Engines

This book provides an overview of the nonlinear model predictive control (NMPC) concept for application to innovative combustion engines. Readers can use this book to become more expert in advanced combustion engine control and to develop and implement their own NMPC algorithms to solve challenging control tasks in the field. The significance of the advantages and relevancy for practice is demo…

Virtual Equivalent System Approach for Stability Analysis of Model-based Cont…

This book puts forward the concept of a virtual equivalent system (VES) based on theoretical analysis and simulation results. The new concept will facilitate the development of a unified framework for analyzing the stability and convergence of self-tuning control (STC) systems, and potentially, of all adaptive control systems. The book then shows that a time-varying STC system can be converted…

Distributed Model Predictive Control Made Easy

The rapid evolution of computer science, communication, and information technology has enabled the application of control techniques to systems beyond the possibilities of control theory just a decade ago. Critical infrastructures such as electricity, water, traffic and intermodal transport networks are now in the scope of control engineers. The sheer size of such large-scale systems requires t…

Computationally Efficient Model Predictive Control Algorithms: A Neural Netwo…

This book thoroughly discusses computationally efficient (suboptimal) Model Predictive Control (MPC) techniques based on neural models. The subjects treated include: · A few types of suboptimal MPC algorithms in which a linear approximation of the model or of the predicted trajectory is successively calculated on-line and used for prediction. · Implementation details of …

PREDICTIVE CONTROL : A Unified Approach

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Predictive control : a unifed approach

Edition

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ISBN/ISSN

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Collation

xxii, 352 p.; ill.; 24 cm

Series Title

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Call Number

629.8 Soe p