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Low-Complexity Controllers for Time-Delay Systems

Edited by Alexandre Seuret, Hitay Özbay, Catherine Bonnet, Hugues Mounier ...

Series series Engineering (R0)
This volume in the newly established series Advances in Delays and Dynamics (ADD@S) provides a collection of recent results on the design and analysis of Low Complexity Controllers for Time Delay Systems. A widely used indirect method to obtain low order controllers for time delay systems is to design a controller for the reduced order model of the plant. In the dual indirect approach, an infinite ... Read more

$89.99 USD

This volume in the newly established series Advances in Delays and Dynamics (ADD@S) provides a collection of recent results on the design and analysis of Low Complexity Controllers for Time Delay Systems. A widely used indirect method to obtain low order controllers for time delay systems is to design a controller for the reduced order model of the plant. In the dual indirect approach, an infinite
... 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 Engineering (R0)
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

$152.09 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
Control of Linear Parameter Varying Systems with Applications

Edited by Javad Mohammadpour, Carsten W. Scherer ...

Series series Engineering (R0)
Control of Linear Parameter Varying Systems compiles state-of-the-art contributions on novel analytical and computational methods for addressing system identification, model reduction, performance analysis and feedback control design and addresses address theoretical developments, novel computational approaches and illustrative applications to various fields. Part I discusses modeling and system ... Read more

$143.99 USD

Control of Linear Parameter Varying Systems compiles state-of-the-art contributions on novel analytical and computational methods for addressing system identification, model reduction, performance analysis and feedback control design and addresses address theoretical developments, novel computational approaches and illustrative applications to various fields. Part I discusses modeling and system
... Read more
Distributed Optimization-Based Control of Multi-Agent Networks in Complex Environments

by Minghui Zhu, Sonia Martínez ...

Series series Engineering (R0)
This book offers a concise and in-depth exposition of specific algorithmic solutions for distributed optimization based control of multi-agent networks and their performance analysis. It synthesizes and analyzes distributed strategies for three collaborative tasks: distributed cooperative optimization, mobile sensor deployment and multi-vehicle formation control. The book integrates miscellaneous ... Read more

$49.99 USD

This book offers a concise and in-depth exposition of specific algorithmic solutions for distributed optimization based control of multi-agent networks and their performance analysis. It synthesizes and analyzes distributed strategies for three collaborative tasks: distributed cooperative optimization, mobile sensor deployment and multi-vehicle formation control. The book integrates miscellaneous
... Read more
Introduction to Averaging Dynamics over Networks

by Fabio Fagnani, Paolo Frasca ...

Series series Engineering (R0)
This book deals with averaging dynamics, a paradigmatic example of network based dynamics in multi-agent systems. The book presents all the fundamental results on linear averaging dynamics, proposing a unified and updated viewpoint of many models and convergence results scattered in the literature.Starting from the classical evolution of the powers of a fixed stochastic matrix, the text then ... Read more

$98.99 USD

This book deals with averaging dynamics, a paradigmatic example of network based dynamics in multi-agent systems. The book presents all the fundamental results on linear averaging dynamics, proposing a unified and updated viewpoint of many models and convergence results scattered in the literature.Starting from the classical evolution of the powers of a fixed stochastic matrix, the text then
... Read more
Dynamics and Control of Lorentz-Augmented Spacecraft Relative Motion

by Ye Yan, Yueneng Yang, Xu Huang ...

Series series Engineering (R0)
This book develops a dynamical model of the orbital motion of Lorentz spacecraft in both unperturbed and J2-perturbed environments. It explicitly discusses three kinds of typical space missions involving relative orbital control: spacecraft hovering, rendezvous, and formation flying. Subsequently, it puts forward designs for both open-loop and closed-loop control schemes propelled or augmented by ... Read more

$49.99 USD

This book develops a dynamical model of the orbital motion of Lorentz spacecraft in both unperturbed and J2-perturbed environments. It explicitly discusses three kinds of typical space missions involving relative orbital control: spacecraft hovering, rendezvous, and formation flying. Subsequently, it puts forward designs for both open-loop and closed-loop control schemes propelled or augmented by
... 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 ...

Series series Engineering (R0)
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

$143.09 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
Discrete–Time Stochastic Control and Dynamic Potential Games

The Euler–Equation Approach

by David González-Sánchez, Onésimo Hernández-Lerma ...

Series series Mathematics and Statistics (R0)
There are several techniques to study noncooperative dynamic games, such as dynamic programming and the maximum principle (also called the Lagrange method). It turns out, however, that one way to characterize dynamic potential games requires to analyze inverse optimal control problems, and it is here where the Euler equation approach comes in because it is particularly well–suited to solve inverse ... Read more

$44.99 USD

There are several techniques to study noncooperative dynamic games, such as dynamic programming and the maximum principle (also called the Lagrange method). It turns out, however, that one way to characterize dynamic potential games requires to analyze inverse optimal control problems, and it is here where the Euler equation approach comes in because it is particularly well–suited to solve inverse
... Read more
Constrained Control of Uncertain, Time-Varying, Discrete-Time Systems

An Interpolation-Based Approach

by Hoai-Nam Nguyen ...

Series series Engineering (R0)
A comprehensive development of interpolating control, this monograph demonstrates the reduced computational complexity of a ground-breaking technique compared with the established model predictive control. The text deals with the regulation problem for linear, time-invariant, discrete-time uncertain dynamical systems having polyhedral state and control constraints, with and without disturbances, ... Read more

$49.99 USD

A comprehensive development of interpolating control, this monograph demonstrates the reduced computational complexity of a ground-breaking technique compared with the established model predictive control. The text deals with the regulation problem for linear, time-invariant, discrete-time uncertain dynamical systems having polyhedral state and control constraints, with and without disturbances,
... Read more
Nonsmooth Mechanics

Models, Dynamics and Control

by Bernard Brogliato ...

Series series Engineering (R0)
Now in its third edition, this standard reference is a comprehensive treatment of nonsmooth mechanical systems refocused to give more prominence to issues connected with control and modelling. It covers Lagrangian and Newton–Euler systems, detailing mathematical tools such as convex analysis and complementarity theory. The ways in which nonsmooth mechanics influence and are influenced by well ... Read more

$170.99 USD

Now in its third edition, this standard reference is a comprehensive treatment of nonsmooth mechanical systems refocused to give more prominence to issues connected with control and modelling. It covers Lagrangian and Newton–Euler systems, detailing mathematical tools such as convex analysis and complementarity theory. The ways in which nonsmooth mechanics influence and are influenced by well
... Read more

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Low-Complexity Controllers for Time-Delay Systems

People who read this also enjoyed

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

Nonlinear Model Predictive Control

Control of Linear Parameter Varying Systems with Applications

Distributed Optimization-Based Control of Multi-Agent Networks in Complex Environments

Introduction to Averaging Dynamics over Networks

Dynamics and Control of Lorentz-Augmented Spacecraft Relative Motion

Three Decades of Progress in Control Sciences

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

Discrete–Time Stochastic Control and Dynamic Potential Games

Constrained Control of Uncertain, Time-Varying, Discrete-Time Systems

Nonsmooth Mechanics

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