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Showing 1 - 12 of 12 results for “lars grüne”
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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

    $192.99 CAD

  • 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

    $141.99 CAD

  • Model Predictive Control

    Engineering Methods for Economists

    Edited by Aris Daniilidis, Lars Grüne, Josef Haunschmied, Gernot Tragler ...
    Series series Economics and Finance (R0)
    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 approaches, easy-to-use numerical implementations as well as multi-agent systems and scheduling and coordination tasks. While MPC ... Read more

    $231.29 CAD

  • Numerical Methods for Optimal Control Problems

    Edited by Maurizio Falcone, Roberto Ferretti, Lars Grüne, William M. McEneaney ...
    Series series Mathematics and Statistics (R0)
    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 optimize some measure of their performance. Started in the 60's under the pressure of the "space race" between the US and the former ... Read more

    $128.99 CAD

  • (In-)Stability of Differential Inclusions

    Notions, Equivalences, and Lyapunov-like Characterizations

    by Philipp Braun, Lars Grüne, Christopher M. Kellett ...
    Series series Mathematics and Statistics (R0)
    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 characterize instability and destabilizability, Lyapunov-like functions, called Chetaev and control Chetaev functions in the monograph, are ... Read more

    $89.99 CAD

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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

    $154.99 CAD

  • 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

    $64.99 CAD

  • Applied Geostatistics with SGeMS

    A User's Guide

    by Nicolas Remy, Jianbing Wu, Alexandre Boucher ...
    The Stanford Geostatistical Modeling Software (SGeMS) is an open-source computer package for solving problems involving spatially related variables. It provides geostatistics practitioners with a user-friendly interface, an interactive 3-D visualization, and a wide selection of algorithms. This practical book provides a step-by-step guide to using SGeMS algorithms. It explains the underlying ... Read more

    $65.99 CAD

  • 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

    $73.29 CAD

  • The Shape of Data

    Geometry-Based Machine Learning and Data Analysis in R

    by Colleen M. Farrelly, Yaé Ulrich Gaba ...
    This advanced machine learning book highlights many algorithms from a geometric perspective and introduces tools in network science, metric geometry, and topological data analysis through practical application.Whether you’re a mathematician, seasoned data scientist, or marketing professional, you’ll find The Shape of Data to be the perfect introduction to the critical interplay between the ... Read more

    $35.19 CAD

  • Deep Learning For Physics Research

    by Martin Erdmann, Jonas Glombitza, Gregor Kasieczka, Uwe Klemradt ...
    A core principle of physics is knowledge gained from data. Thus, deep learning has instantly entered physics and may become a new paradigm in basic and applied research.This textbook addresses physics students and physicists who want to understand what deep learning actually means, and what is the potential for their own scientific projects. Being familiar with linear algebra and parameter ... Read more

    $43.99 CAD

  • Informed Machine Learning

    Edited by Daniel Schulz, Christian Bauckhage ...
    Series series Artificial Intelligence (R0)
    This open access book presents the concept of Informed Machine Learning and demonstrates its practical use with a compelling collection of applications of this paradigm in industrial and business use cases. These range from health care over manufacturing and material science to more advanced combinations with deep learning, say, in the form of physical informed neural networks. The book is ... Read more

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