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  1. Deterministic Control Theory

    In this chapter we focus our attention on the open loop control of deterministic problems. We will see that the language of deterministic control...
    Chapter
  2. Optimal Control of Stochastic Processes

    Many control problems appearing for complex systems are subject to imperfectly known disturbances. As we have learned in the previous chapter, these...
    Chapter
  3. Optimization Problems

    Several problems, for example Pontryagin’s maximum principle or the minimax problems of game theoretical approaches, require the determination of an...
    Chapter
  4. Chaos Control

    In the previous chapters we have discussed the control theory from a mechanical and field theoretical point of view. This control theory is, of...
    Chapter
  5. Control of Fields

    The theoretical representation of classical mechanics and field theory is very similar in some ways. This also applies to the axiomatic structure. It...
    Chapter
  6. Nonequilibrium Statistical Physics

    Although most many-body systems are beyond the technical possibilities of the mathematical calculus of mechanics, we are able to calculate the...
    Chapter
  7. Game Theory

    All systems analyzed up to now were more or less predictable. That means, we had some information about the initial state and the dynamics of the...
    Chapter
  8. Introduction

    Control theory plays an important role in several .elds of economics, technological sciences, and mathematics. On the other hand, control theory is...
    Chapter
  9. Filters and Predictors

    Suppose we have a system under control, described by dynamical equations of motion for the N-dimensional state vector X(t), and we have obtained an...
    Chapter
  10. Linear Quadratic Problems

    Suppose we have a deterministic system under control, described by dynamical equations of motion for an N-dimensional state vector X(t). Usually,...
    Chapter
  11. Convex Predictor–Nonconvex Corrector Optimization Strategy with Application to Signal Decomposition

    Many tasks in real life scenarios can be naturally formulated as nonconvex optimization problems. Unfortunately, to date, the iterative numerical...

    Laura Girometti, Martin Huska, ... Serena Morigi in Journal of Optimization Theory and Applications
    Article Open access 04 July 2024
  12. On the thermal flow through a porous annular region

    This paper reports the analytical results on the non-isothermal stationary fluid flow inside thin vertical annular region formed by two co-axial...

    Eduard Marušić-Paloka, Igor Pažanin in Journal of Engineering Mathematics
    Article 04 July 2024
  13. On an accurate numerical integration for the triangular and tetrahedral spectral finite elements

    In the triangular/tetrahedral spectral finite elements, we apply a bilinear/trilinear transformation to map a reference square/cube to a...

    Ziqing **e, Shangyou Zhang in Advances in Computational Mathematics
    Article 03 July 2024
  14. The Null Controllability of Transmission Wave-Schrödinger System with a Boundary Control

    This paper is devoted to investigate the null controllability of the transmission wave-Schrödinger system with only one boundary control. The domain...

    Ya-** Guo, Jun-Min Wang, ... Dong-**a Zhao in Journal of Dynamical and Control Systems
    Article 03 July 2024
  15. Tropical convexity in location problems

    We investigate location problems where the optimal solution is found within the tropical convex hull of the given input points. Our initial focus is...

    Article Open access 03 July 2024
  16. Further analysis of multilevel Stein variational gradient descent with an application to the Bayesian inference of glacier ice models

    Multilevel Stein variational gradient descent is a method for particle-based variational inference that leverages hierarchies of surrogate target...

    Terrence Alsup, Tucker Hartland, ... Noemi Petra in Advances in Computational Mathematics
    Article 03 July 2024
  17. FE4NorOMAS: A Distributed Fuzzy Enforcement Approach for Normative Open Multi-Agent Systems

    In the Normative Multi-agent Systems (NorMAS) field, norms are designed and specified as regulatory mechanisms intending to outline the ideal and...

    Mohamed Sedik Chebout, Abderrahim Sahbi in International Journal of Fuzzy Systems
    Article 03 July 2024
  18. On solving a rank regularized minimization problem via equivalent factorized column-sparse regularized models

    Rank regularized minimization problem is an ideal model for the low-rank matrix completion/recovery problem. The matrix factorization approach can...

    Wen**g Li, Wei Bian, Kim-Chuan Toh in Mathematical Programming
    Article 03 July 2024
  19. An adaptive time-step** Fourier pseudo-spectral method for the Zakharov-Rubenchik equation

    An adaptive time-step** scheme is developed for the Zakharov-Rubenchik system to resolve the multiple time scales accurately and to improve the...

    Bingquan Ji, Xuanxuan Zhou in Advances in Computational Mathematics
    Article 03 July 2024
  20. A New Family of Semi-Norms Between the Berezin Radius and the Berezin Norm

    Mojtaba Bakherad, Cristian Conde, Fuad Kittaneh in Acta Applicandae Mathematicae
    Article 03 July 2024
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