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PID Control in the Third Millennium

Lessons Learned and New Approaches

Edited by Ramon Vilanova, Antonio Visioli ...

Series series Engineering (R0)
The early 21st century has seen a renewed interest in research in the widely-adopted proportional-integral-differential (PID) form of control. PID Control in the Third Millennium provides an overview of the advances made as a result. Featuring: new approaches for controller tuning; control structures and configurations for more efficient control; practical issues in PID implementation; and non ... Read more

$143.99 USD

The early 21st century has seen a renewed interest in research in the widely-adopted proportional-integral-differential (PID) form of control. PID Control in the Third Millennium provides an overview of the advances made as a result. Featuring: new approaches for controller tuning; control structures and configurations for more efficient control; practical issues in PID implementation; and non
... Read more

S-Variable Approach to LMI-Based Robust Control

by Yoshio Ebihara, Dimitri Peaucelle, Denis Arzelier ...

Series series Engineering (R0)
This book shows how the use of S-variables (SVs) in enhancing the range of problems that can be addressed with the already-versatile linear matrix inequality (LMI) approach to control can, in many cases, be put on a more unified, methodical footing. Beginning with the fundamentals of the SV approach, the text shows how the basic idea can be used for each problem (and when it should not be employed ... Read more

$89.99 USD

This book shows how the use of S-variables (SVs) in enhancing the range of problems that can be addressed with the already-versatile linear matrix inequality (LMI) approach to control can, in many cases, be put on a more unified, methodical footing. Beginning with the fundamentals of the SV approach, the text shows how the basic idea can be used for each problem (and when it should not be employed
... Read more
Simulation-Based Algorithms for Markov Decision Processes

by Hyeong Soo Chang, Jiaqiao Hu, Michael C. Fu, Steven I. Marcus ...

Series series Engineering (R0)
Markov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences. Many real-world problems modeled by MDPs have huge state and/or action spaces, giving an opening to the curse of dimensionality and so making practical solution of the resulting models intractable. In other cases, the ... Read more

$89.99 USD

Markov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences. Many real-world problems modeled by MDPs have huge state and/or action spaces, giving an opening to the curse of dimensionality and so making practical solution of the resulting models intractable. In other cases, the
... Read more
Simulation of ODE/PDE Models with MATLAB®, OCTAVE and SCILAB

Scientific and Engineering Applications

by Carlos Vilas, Alain Vande Wouwer, Philippe Saucez ...

Series series Engineering (R0)
Simulation of ODE/PDE Models with MATLAB®, OCTAVE and SCILAB shows the reader how to exploit a fuller array of numerical methods for the analysis of complex scientific and engineering systems than is conventionally employed. The book is dedicated to numerical simulation of distributed parameter systems described by mixed systems of algebraic equations, ordinary differential equations (ODEs) and ... Read more

$152.99 USD

Simulation of ODE/PDE Models with MATLAB®, OCTAVE and SCILAB shows the reader how to exploit a fuller array of numerical methods for the analysis of complex scientific and engineering systems than is conventionally employed. The book is dedicated to numerical simulation of distributed parameter systems described by mixed systems of algebraic equations, ordinary differential equations (ODEs) and
... Read more
Nonlinear Model Predictive Control

Theory and Algorithms

by Lars Grüne, Jürgen Pannek ...

Series series Communications and Control Engineering
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 approximation of infinite-horizon optimal control so that important properties like closed-loop stability, inverse optimality and suboptimality can be derived in a uniform manner. These results are complemented ... Read more

$152.99 USD

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 approximation of infinite-horizon optimal control so that important properties like closed-loop stability, inverse optimality and suboptimality can be derived in a uniform manner. These results are complemented
... Read more
Stability Analysis of Markovian Jump Systems

by Yu Kang, Yun-Bo Zhao, Ping Zhao ...

Series series Engineering (R0)
This book focuses on the stability analysis of Markovian jump systems (MJSs) with various settings and discusses its applications in several different areas. It also presents general definitions of the necessary concepts and an overview of the recent developments in MJSs. Further, it addresses the general robust problem of Markovian jump linear systems (MJLSs), the asynchronous stability of a ... Read more

$89.99 USD

This book focuses on the stability analysis of Markovian jump systems (MJSs) with various settings and discusses its applications in several different areas. It also presents general definitions of the necessary concepts and an overview of the recent developments in MJSs. Further, it addresses the general robust problem of Markovian jump linear systems (MJLSs), the asynchronous stability of a
... Read more
Analysis of Deterministic Cyclic Gene Regulatory Network Models with Delays

by Mehmet Eren Ahsen, Hitay Özbay, Silviu-Iulian Niculescu ...

Series series Engineering (R0)
This brief examines a deterministic, ODE-based model for gene regulatory networks (GRN) that incorporates nonlinearities and time-delayed feedback. An introductory chapter provides some insights into molecular biology and GRNs. The mathematical tools necessary for studying the GRN model are then reviewed, in particular Hill functions and Schwarzian derivatives. One chapter is devoted to the ... Read more

$49.99 USD

This brief examines a deterministic, ODE-based model for gene regulatory networks (GRN) that incorporates nonlinearities and time-delayed feedback. An introductory chapter provides some insights into molecular biology and GRNs. The mathematical tools necessary for studying the GRN model are then reviewed, in particular Hill functions and Schwarzian derivatives. One chapter is devoted to the
... Read more
Stability of Linear Delay Differential Equations

A Numerical Approach with MATLAB

by Dimitri Breda, Stefano Maset, Rossana Vermiglio ...

Series series Engineering (R0)
This book presents the authors' recent work on the numerical methods for the stability analysis of linear autonomous and periodic delay differential equations, which consist in applying pseudospectral techniques to discretize either the solution operator or the infinitesimal generator and in using the eigenvalues of the resulting matrices to approximate the exact spectra. The purpose of the book ... Read more

$53.99 USD

This book presents the authors' recent work on the numerical methods for the stability analysis of linear autonomous and periodic delay differential equations, which consist in applying pseudospectral techniques to discretize either the solution operator or the infinitesimal generator and in using the eigenvalues of the resulting matrices to approximate the exact spectra. The purpose of the book
... Read more
Adaptive Control

Algorithms, Analysis and Applications

by Rogelio Lozano, Mohammed M'Saad, Alireza Karimi, Ioan Doré Landau ...

Series series Engineering (R0)
Adaptive Control (second edition) shows how a desired level of system performance can be maintained automatically and in real time, even when process or disturbance parameters are unknown and variable. It is a coherent exposition of the many aspects of this field, setting out the problems to be addressed and moving on to solutions, their practical significance and their application. Discrete-time ... Read more

$170.99 USD

Adaptive Control (second edition) shows how a desired level of system performance can be maintained automatically and in real time, even when process or disturbance parameters are unknown and variable. It is a coherent exposition of the many aspects of this field, setting out the problems to be addressed and moving on to solutions, their practical significance and their application. Discrete-time
... Read more
Takagi-Sugeno Fuzzy Systems Non-fragile H-infinity Filtering

by Xiao-Heng Chang ...

Series series Engineering (R0)
Takagi-Sugeno Fuzzy Systems Non-fragile H-infinity Filtering investigates the problem of non-fragile H-infinity filter design for Takagi-Sugeno (T-S) fuzzy systems. Given a T-S fuzzy system, the objective of this book is to design an H-infinity filter with the gain variations such that the filtering error system guarantees a prescribed H-infinity performance level. Furthermore, it demonstrates ... Read more

$89.99 USD

Takagi-Sugeno Fuzzy Systems Non-fragile H-infinity Filtering investigates the problem of non-fragile H-infinity filter design for Takagi-Sugeno (T-S) fuzzy systems. Given a T-S fuzzy system, the objective of this book is to design an H-infinity filter with the gain variations such that the filtering error system guarantees a prescribed H-infinity performance level. Furthermore, it demonstrates
... Read more
Three Decades of Progress in Control Sciences

Dedicated to Chris Byrnes and Anders Lindquist

Edited by Xiaoming Hu, Ulf Jonsson, Bo Wahlberg, Bijoy Ghosh ...

In this edited collection we commemorate the 60th birthday of Prof. Christopher Byrnes and the retirement of Prof. Anders Lindquist from the Chair of Optimization and Systems Theory at KTH. These papers were presented in part at a 2009 workshop in KTH, Stockholm, honoring the lifetime contributions of Professors Byrnes and Lindquist in various fields of applied mathematics. ... Read more

$143.99 USD

In this edited collection we commemorate the 60th birthday of Prof. Christopher Byrnes and the retirement of Prof. Anders Lindquist from the Chair of Optimization and Systems Theory at KTH. These papers were presented in part at a 2009 workshop in KTH, Stockholm, honoring the lifetime contributions of Professors Byrnes and Lindquist in various fields of applied mathematics.
... Read more
Lasso-MPC – Predictive Control with ℓ1-Regularised Least Squares

by Marco Gallieri ...

Series series Engineering (R0)
This thesis proposes a novel Model Predictive Control (MPC) strategy, which modifies the usual MPC cost function in order to achieve a desirable sparse actuation. It features an ℓ1-regularised least squares loss function, in which the control error variance competes with the sum of input channels magnitude (or slew rate) over the whole horizon length. While standard control techniques lead to ... Read more

$89.99 USD

This thesis proposes a novel Model Predictive Control (MPC) strategy, which modifies the usual MPC cost function in order to achieve a desirable sparse actuation. It features an ℓ1-regularised least squares loss function, in which the control error variance competes with the sum of input channels magnitude (or slew rate) over the whole horizon length. While standard control techniques lead to
... Read more

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PID Control in the Third Millennium

People who read this also enjoyed

S-Variable Approach to LMI-Based Robust Control

Simulation-Based Algorithms for Markov Decision Processes

Simulation of ODE/PDE Models with MATLAB®, OCTAVE and SCILAB

Nonlinear Model Predictive Control

Stability Analysis of Markovian Jump Systems

Analysis of Deterministic Cyclic Gene Regulatory Network Models with Delays

Stability of Linear Delay Differential Equations

Adaptive Control

Takagi-Sugeno Fuzzy Systems Non-fragile H-infinity Filtering

Three Decades of Progress in Control Sciences

Lasso-MPC – Predictive Control with ℓ1-Regularised Least Squares

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