Explicit Nonlinear Model Predictive Control

Nonlinear Model Predictive Control is a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discrete-time and sampled-data systems. NMPC is interpreted as an approximat

This book offers readers a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discrete-time and sampled-data systems. NMPC schemes with and without stabilizing termina

Model Predictive Control (MPC), the dominant advanced control approach in industry over the past twenty-five years, is presented comprehensively in this unique book. With a simple, unified approach, and with attention to real-time implementation, it covers predictive control theory including the stability, feasibility, and robustness of MPC controllers. The theory of explicit MPC, where the nonlinear optimal feedback controller can be calculated efficiently, is presented in the context of linear systems with linear constraints, switched linear systems, and, more generally, linear hybrid systems. Drawing upon years of practical experience and using numerous examples and illustrative applications, the authors discuss the techniques required to design predictive control laws, including algorithms for polyhedral manipulations, mathematical and multiparametric programming and how to validate the theoretical properties and to implement predictive control policies. The most important algorith

This book presents general methods for the design of economic model predictive control (EMPC) systems for broad classes of nonlinear systems that address key theoretical and practical considerations i

Hybrid Predictive Control for Dynamic Transport Problems develops methods for the design of predictive control strategies for nonlinear-dynamic hybrid discrete-/continuous-variable systems. The method

Real-time model predictive controller (MPC) implementation in active vibration control (AVC) is often rendered difficult by fast sampling speeds and extensive actuator-deformation asymmetry. If the co

Authors Li and Zheng present readers with a comprehensive examination of distributed model predictive control (DMPC), it’s basic concepts, technologies, and implementation in plant-wide systems. The a

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

A predictive control algorithm uses a model of the controlled system to predict the system behavior for various input scenarios and determines the most appropriate inputs accordingly. Predictive contr

"Preface The book presents model-based control methods and techniques for nonlinear, specifically constrained, systems. It focuses on constructive control design methods with an emphasis on modeling c

The demands of the modern economic climate have led to a dramatic increase in the industrial application of model-based predictive control techniques. In fact, apart from PID, predictive control is p

Model Predictive Control (MPC) is unusual in receiving on-going interest in both industrial and academic circles. Issues such as plant optimization and constrained control which are critical to indus

In this original book on model predictive control (MPC) for power electronics, the focus is put on high-power applications with multilevel converters operating at switching frequencies well below 1 kH

Describes the general principles and current research into Model Predictive Control (MPC); the most up-to-date control method for power converters and drivesThe book starts with an introduction

Predictive Technology Model for Robust Nanoelectronic Design explains many of the technical mysteries behind the Predictive Technology Model (PTM) that has been adopted worldwide in explorative design

Networked and Distributed Predictive Control presents rigorous, yet practical, methods for the design of networked and distributed predictive control systems – the first book to do so. The design of m

Modern Predictive Control explains how MPC differs from other control methods in its implementation of a control action. Most importantly, MPC provides the flexibility to act while optimizing—wh

An analysis of the lessons learned from tuberculosis control in Shanghai. Tuberculosis Control and Institutional Change in Shanghai, 1911-2011 is the first book on the most widespread and deadly infectious disease in China, both historically and today. Weaving together interviews with data from periodicals and local archives in Shanghai, Rachel Core examines the rise and fall of tuberculosis control in China from the 1950s to the 1990s. Under the socialist work unit system, the vast majority of people had guaranteed employment, a host of benefits tied to their workplace, and there was little mobility--factors that made the delivery of medical and public health services possible in both urban and rural areas. The dismantling of work units amid wider market reforms in the 1980s and 1990s led to the rise of temporary and casual employment and a huge migrant worker population, with little access to health care, creating new challenges in TB control. This study of Shanghai will provide valu

This comprehensive handbook is designed to provide the reader with the knowledge needed to successfully implement an active, hybrid or semi-active control system to a structure, safeguarding it agains

The sequel to Joey Pigza Swallowed the Key, a National Book Award Finalist.When Joey Pigza meets his dad for the first time in years, he meets a grown-up version of his old out-of-control self. Carter

Reinforcement Learning for Optimal Feedback Control develops model-based and data-driven reinforcement learning methods for solving optimal control problems in nonlinear deterministic dynamical system

Shows the newest developments in the field of multi-parametric model predictive control and optimization and their application for drug delivery systems This book is based on the Modelling, Cont

Over the past decade, a number of books on power converters, wind energy systems and predictive control have been published. However, there are no books that provide a comprehensive analysis of these

Significant progress has been made on nonlinear control systems in the past two decades. However, many of the existing nonlinear control methods cannot be readily used to cope with communication and n

For a first course on nonlinear control that can be taught in one semester ? This book emerges from the award-winning book, Nonlinear Systems, but has a distinctly different mission and?organization.

This is the first book to specifically address the explicit finite element method for nonlinear transient dynamics. This book aids readers in mastering the explicit finite element method as well as pr

A comprehensive treatment of model-based fuzzy control systems This volume offers full coverage of the systematic framework for the stability and design of nonlinear fuzzy control systems. Building o

The present book analyses critically the tripartite mimicry model (consisting of the mimic, model and receiver species) and develops semiotic tools for comparative analysis. It is proposed that mimicr

《 My 36 Years of Model-making》同時反映了香港自身的驚人增長和鍾經洋在被同事們形容為”可能是香港最好的建築模型製作人”下，他如何在香港的發展中悄悄地發揮著動態作用。 這不是一本展示模型製作方法的書，而是說明了一個模型製作者的終生成就，他的作品與香港自身的發展以及民生，貿易，社會，金融，城市規劃​​，住房，交通以及藝術和文化的變化有著密切的聯繫。本書介紹了各種行業的建築模

The development of computer software for nonlinear control systems has provided many benefits for teaching, research, and the development of control systems design. MATLAB is considered the dominant s

A guide to all practical aspects of building, implementing, managing, and maintaining MPC applications in industrial plants Multivariable Predictive Control: Applications in Industry provides engineer

This volume collects recent advances in nonlinear delay systems, with an emphasis on constructive generalized Lyapunov and predictive approaches that certify stability properties. The book is written

Presenting a systematic model reduction and hierarchical controller design framework for broad classes of integrated process systems encountered in practice, this book first studies process systems with large material recycle and/or with small purge streams, followed by systems with energy integration. Step-by-step model reduction procedures are developed to derive nonlinear reduced models of the dynamics in each time scale. Hierarchical control architectures consisting of coordinated levels of control action in different time scales are proposed for each class of process systems considered to enforce stability, tracking performance and disturbance rejection. Numerous process applications are discussed in detail to illustrate the application of the methods and their potential to improve process operations. MATLAB codes are also presented to guide further application of the methods developed and facilitate practical implementations.

A systematic computer-aided approach provides a versatile setting for the control engineer to overcome the complications of controller design for highly nonlinear systems. Computer-aided Nonlinear Con

Nonlinear Dynamical Systems and Control presents and develops an extensive treatment of stability analysis and control design of nonlinear dynamical systems, with an emphasis on Lyapunov-based methods

This eagerly awaited follow-up to Nonlinear Control Systems incorporates recent advances in the design of feedback laws, for the purpose of globally stabilizing nonlinear systems via state or output f

Hong Kong and Macau have both been Special Administrative Regions of China since 1999. To this day, however, the two SARs and mainland China have yet to form a cohesive agreement for extradition. Yanhong Yin proposes a theoretical model—the China Arrest Warrant—that fulfils three essential criteria: compliance with the framework of “One Country, Two Systems,” allowance for differences within the three divergent legal systems, and sufficient human rights protection.This model takes direct inspiration from the European Arrest Warrant, which is undergirded by the principle of mutual recognition—the idea that while states may make different decisions on a wide range of matters, results will be accepted as equivalent to decisions made by one’s own state. The success of the European Union’s adoption of mutual recognition across political, economic, and legal situations is instrumental in providing a blueprint for judicial cooperation among mainland China, Hong Kong SAR, and Macau SAR. This a

After her excitement spins out of control in slapstick comedic scenes kids will love, an energetic young girl discovers how to calm down and be present in the moment.Meena is excited to visit Dada and

Heisman Trophy winner, multi-sport athlete, special needs advocate, and positive role model Tim Tebow encourages children to embrace their unique qualities in his first book for children, a winning ta

Bunheads meets The Kicks in this third novel in this entertaining middle grade series from New York Times bestselling author, dancer, model, and actress Maddie Ziegler!Harper and her fellow Dance Star