Télécharger le livre :  Model Predictive Control
The book explores the field of model predictive control (MPC). It reports on the latest developments in MPC, current applications, and presents various subfields of MPC.The book features topics such as uncertain and stochastic MPC variants, learning and neural network...

Editeur : Springer
Parution : 2025-06-07
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168,79

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Télécharger le livre :  (In-)Stability of Differential Inclusions
Lyapunov methods have been and are still one of the main tools to analyze the stability properties of dynamical systems. In this monograph,Lyapunov results characterizing the stability and stability of the origin of differential inclusions are reviewed. To...

Editeur : Springer
Parution : 2021-07-12
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73,84

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Télécharger le livre :  Numerical Methods for Optimal Control Problems
This work presents recent mathematical methods in the area of optimal control with a particular emphasis on the computational aspects and applications. Optimal control theory concerns the determination of control strategies for complex dynamical systems, in order to...

Editeur : Springer
Parution : 2019-01-26
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105,49

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Télécharger le livre :  Nonlinear Model Predictive Control
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...

Editeur : Springer
Parution : 2016-11-09
Collection : Communications and Control Engineering PDF, ePub

116,04

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Télécharger le livre :  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 approximation of infinite-horizon optimal control so that important properties...

Editeur : Springer
Parution : 2011-04-11
Collection : Communications and Control Engineering ePub

158,24

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