Predictive Control for Linear and Hybrid Systems

Download or Read online Predictive Control for Linear and Hybrid Systems full in PDF, ePub and kindle. This book written by Francesco Borrelli and published by Cambridge University Press which was released on 22 June 2017 with total pages 440. We cannot guarantee that Predictive Control for Linear and Hybrid Systems book is available in the library, click Get Book button to download or read online books. Join over 650.000 happy Readers and READ as many books as you like.

Predictive Control for Linear and Hybrid Systems
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Publisher : Cambridge University Press
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ISBN : 9781107016880
Pages : 440 pages
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With a simple approach that includes real-time applications and algorithms, this book covers the theory of model predictive control (MPC).

Predictive Control for Linear and Hybrid Systems

With a simple approach that includes real-time applications and algorithms, this book covers the theory of model predictive control (MPC).

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Model Predictive Control in the Process Industry

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For the first time, a textbook that brings together classical predictive control with treatment of up-to-date robust and stochastic techniques. Model Predictive Control describes the development of tractable algorithms for uncertain, stochastic, constrained systems. The starting point is classical predictive control and the appropriate formulation of performance objectives and constraints

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Adaptive Prediction and Predictive Control

Provides unified coverage of the principles and methods of various disciplines' approaches to prediction and control of processes expressed by discrete-time models, especially adaptive prediction, for students, researchers, and practitioners in the field. Chapters on methods of adaptive prediction for linear and non-linear processes, such as input-output model based prediction

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Automotive control has developed over the decades from an auxiliary te- nology to a key element without which the actual performances, emission, safety and consumption targets could not be met. Accordingly, automotive control has been increasing its authority and responsibility – at the price of complexity and di?cult tuning. The

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Thepastthree decadeshaveseenrapiddevelopmentin the areaofmodelpred- tive control with respect to both theoretical and application aspects. Over these 30 years, model predictive control for linear systems has been widely applied, especially in the area of process control. However, today’s applications often require driving the process over a wide region and close to

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This book focuses on distributed and economic Model Predictive Control (MPC) with applications in different fields. MPC is one of the most successful advanced control methodologies due to the simplicity of the basic idea (measure the current state, predict and optimize the future behavior of the plant to determine an

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