Corpus ID: 208784265

Preface

Brain Research Bulletin

Optimal control, once thought of as one of the principal and complex domains in the control field, has been studied extensively in both science and engineering for several decades. As is known… Expand

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2,405 Citations

2,405 Citations

Computer Science

EUREKA: Physics and Engineering

2019

TLDR

A method for finding the optimal PID controller settings is proposed, which takes into account all the shortcomings of the most common engineering methods for finding controller settings and significantly improves the dynamic properties of the system. ExpandPhysics

2019

This paper formulates a new hyperchaotic system for particle motion. The continuous dependence on initial conditions of the system’s solution and the equilibrium stability, bifurcation, energy… Expand

Computer Science

2020

TLDR

The aim of this work is the construction and numerical validation of parallel block preconditioners for a set of three-dimensional saddle point problems discretized by the low order virtual element method (VEM), which focuses on the following systems of PDEs. ExpandComputer Science

Recent Advances in Modeling, Analysis and Systems Control: Theoretical Aspects and Applications

2019

TLDR

This paper investigates the one-dimensional deterministic linear Cellular Automata by establishing a relation between controllability of CA and Markov Chains instead of using the Kalman condition.Expand1994

The paper describes the results of the evolutionary development of a real, neural-network driven mobile robot. The evolutionary approach to the development of neural controllers for autonomous agents… Expand

Mathematics

2002

Let L(f) = ∫ log ‖Df‖ dμf denote the Lyapunov exponent of a rational map, f : P → P. For any holomorphic family of rational maps {fλ : λ ∈ X} of degree > 1, we show that T (f) = ddL(fλ) defines a… Expand

2019

TLDR

A survey of the existing mathematical models of electric vehicles followed by state of the art approaches on modeling hybridization of the energy sources is presented, providing optimal models for particular applications. Expand1997

The authors present a summary of classic literature addressing the topic of Artiicial Life (A{Life). From roots in mathematics, computer science, and biology , this new discipline has proven itself… Expand

2020

Abstract The German mathematician Olaus Henrici, 1 who was born in Denmark in 1840, studied engineering and mathematics in Germany before making his career in London. Initially, and for only a short… Expand

2020

TLDR

Mixed- integer linear programming as applied to scheduling geodetic very-long-baseline interferometry (VLBI) observations is presented and a simplified and thus much faster version of the mixed-integer linear program has been developed for modern VLBI Global Observing System telescopes.Expand...

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Approximate Dynamic Programming—II: Algorithms

Mathematics

2010

Approximate dynamic programming (ADP) is a powerful class of algorithmic strategies for solving stochastic optimization ...

Data-based Self-learning Optimal Control: Research Progress and Prospects

Computer Science

2013

TLDR

This paper presents a comprehensive survey on the theoretical research, algorithm development, and related applications of ADP, which covers the latest research progress and also analyzes and predicts the future development trend.30 Citations

Abstract

2,405 Citations

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