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Linear Parameter-Varying Control for Engineering Applications

by Guoming Zhu, Jongeun Choi, Andrew P. White ...

Series series Engineering (R0)
The subject of this brief is the application of linear parameter-varying (LPV) control to a class of dynamic systems to provide a systematic synthesis of gain-scheduling controllers with guaranteed stability and performance.An important step in LPV control design, which is not well covered in the present literature, is the selection of weighting functions. The proper selection of weighting ... Read more

$49.49 USD

The subject of this brief is the application of linear parameter-varying (LPV) control to a class of dynamic systems to provide a systematic synthesis of gain-scheduling controllers with guaranteed stability and performance.An important step in LPV control design, which is not well covered in the present literature, is the selection of weighting functions. The proper selection of weighting
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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
Nonlinear Model Predictive Control

Theory and Algorithms

by Lars Grüne, Jürgen Pannek ...

Series series Engineering (R0)
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 terminal constraints are detailed, and intuitive examples illustrate the performance of different NMPC variants. NMPC is interpreted as an approximation of infinite-horizon optimal control so that important ... Read more

$107.09 USD

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 terminal constraints are detailed, and intuitive examples illustrate the performance of different NMPC variants. NMPC is interpreted as an approximation of infinite-horizon optimal control so that important
... 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

$89.09 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
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Dynamic Surface Control of Uncertain Nonlinear Systems

An LMI Approach

by Bongsob Song, J. Karl Hedrick ...

Series series Engineering (R0)
Although the problem of nonlinear controller design is as old as that of linear controller design, the systematic design methods framed in response are more sparse. Given the range and complexity of nonlinear systems, effective new methods of control design are therefore of significant importance. Dynamic Surface Control of Uncertain Nonlinear Systems provides a theoretically rigorous and ... Read more

$89.99 USD

Although the problem of nonlinear controller design is as old as that of linear controller design, the systematic design methods framed in response are more sparse. Given the range and complexity of nonlinear systems, effective new methods of control design are therefore of significant importance. Dynamic Surface Control of Uncertain Nonlinear Systems provides a theoretically rigorous and
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Finite-Time Stability and Control

by Francesco Amato, Roberto Ambrosino, Marco Ariola, Carlo Cosentino, Gianmaria De Tommasi ...

Series series Engineering (R0)
Finite-time stability (FTS) is a more practical concept than classical Lyapunov stability, useful for checking whether the state trajectories of a system remain within pre-specified bounds over a finite time interval. In a linear systems framework, FTS problems can be cast as convex optimization problems and solved by the use of effective off-the-shelf computational tools such as LMI solvers. ... Read more

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Finite-time stability (FTS) is a more practical concept than classical Lyapunov stability, useful for checking whether the state trajectories of a system remain within pre-specified bounds over a finite time interval. In a linear systems framework, FTS problems can be cast as convex optimization problems and solved by the use of effective off-the-shelf computational tools such as LMI solvers.
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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

$152.09 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
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An Introduction to Optimal Control Problems in Life Sciences and Economics

From Mathematical Models to Numerical Simulation with MATLAB®

by Sebastian Aniţa, Viorel Arnăutu, Vincenzo Capasso ...

Series series Mathematics and Statistics (R0)
Combining two important and growing areas of applied mathematics—control theory and modeling—this textbook introduces and builds on methods for simulating and tackling concrete problems in a variety of applied sciences.Emphasizing "learning by doing," the authors focus on examples and applications to real-world problems. An elementary presentation of advanced concepts, proofs to introduce new ... Read more

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Combining two important and growing areas of applied mathematics—control theory and modeling—this textbook introduces and builds on methods for simulating and tackling concrete problems in a variety of applied sciences.Emphasizing "learning by doing," the authors focus on examples and applications to real-world problems. An elementary presentation of advanced concepts, proofs to introduce new
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Model Predictive Control

Classical, Robust and Stochastic

by Basil Kouvaritakis, Mark Cannon ...

Series series Engineering (R0)
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 to ... Read more

$58.99 USD

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 to
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Analysis and Control of Boolean Networks

A Semi-tensor Product Approach

by Daizhan Cheng, Hongsheng Qi, Zhiqiang Li ...

Series series Engineering (R0)
Analysis and Control of Boolean Networks presents a systematic new approach to the investigation of Boolean control networks. The fundamental tool in this approach is a novel matrix product called the semi-tensor product (STP). Using the STP, a logical function can be expressed as a conventional discrete-time linear system. In the light of this linear expression, certain major issues concerning ... Read more

$89.09 USD

Analysis and Control of Boolean Networks presents a systematic new approach to the investigation of Boolean control networks. The fundamental tool in this approach is a novel matrix product called the semi-tensor product (STP). Using the STP, a logical function can be expressed as a conventional discrete-time linear system. In the light of this linear expression, certain major issues concerning
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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

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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
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Control and Filtering for Semi-Markovian Jump Systems

by Fanbiao Li, Peng Shi, Ligang Wu ...

Series series Engineering (R0)
This book presents up-to-date research developments and novel methodologies on semi-Markovian jump systems (S-MJS). It presents solutions to a series of problems with new approaches for the control and filtering of S-MJS, including stability analysis, sliding mode control, dynamic output feedback control, robust filter design, and fault detection. A set of newly developed techniques such as ... Read more

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This book presents up-to-date research developments and novel methodologies on semi-Markovian jump systems (S-MJS). It presents solutions to a series of problems with new approaches for the control and filtering of S-MJS, including stability analysis, sliding mode control, dynamic output feedback control, robust filter design, and fault detection. A set of newly developed techniques such as
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Nonlinear Model Predictive Control

Nonlinear Model Predictive Control

Simulation-Based Algorithms for Markov Decision Processes

Dynamic Surface Control of Uncertain Nonlinear Systems

Finite-Time Stability and Control

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

An Introduction to Optimal Control Problems in Life Sciences and Economics

Model Predictive Control

Analysis and Control of Boolean Networks

Stability of Linear Delay Differential Equations

Control and Filtering for Semi-Markovian Jump Systems

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