Results 31 to 40 of about 2,654,552 (198)

Generalized predictive control based on particle swarm optimization for linear/nonlinear process with constraints [PDF]

open access: yes, 2010
: This paper presents an intelligent generalized predictive controller (GPC) based on particle swarm optimization (PSO) for linear or nonlinear process with constraints. We propose several constraints for the plants from the engineering point of view and
Sun, Yanxia, Wang, Zenghui
core   +3 more sources

Parameter identification of BIPT system using chaotic-enhanced fruit fly optimization algorithm [PDF]

open access: yes, 2015
Bidirectional inductive power transfer (BIPT) system facilitates contactless power transfer between two sides and across an air-gap, through weak magnetic coupling.
Ahuja   +31 more
core   +1 more source

A Piecewise Deterministic Markov Toy Model for Traffic/Maintenance and Associated Hamilton-Jacobi Integrodifferential Systems on Networks

open access: yes, 2015
We study optimal control problems in infinite horizon when the dynamics belong to a specific class of piecewise deterministic Markov processes constrained to star-shaped networks (inspired by traffic models). We adapt the results in [H. M. Soner. Optimal
Goreac, Dan   +2 more
core   +2 more sources

Belavkin-Kolkoltsov watch-dog effects in interactively controlled stochastic computer-graphic dynamic systems. A mathematical study [PDF]

open access: yes, 1995
Stochastic properties of the long-time behaviour of a continuously observed (and interactively controlled) quantum-field top are investigated mathematically. Applications to interactively controlled stochastic computer-graphic dynamic systems are discussed.
arxiv   +1 more source

Distribution-free cumulative sum control charts using bootstrap-based control limits [PDF]

open access: yesAnnals of Applied Statistics 2009, Vol. 3, No. 1, 349-369, 2009
This paper deals with phase II, univariate, statistical process control when a set of in-control data is available, and when both the in-control and out-of-control distributions of the process are unknown. Existing process control techniques typically require substantial knowledge about the in-control and out-of-control distributions of the process ...
arxiv   +1 more source

From Control to Mathematics-Part II: Observability-Based Design for Iterative Methods in Solving Linear Equations [PDF]

open access: yesarXiv, 2021
The control approaches generally resort to the tools from the mathematics, but whether and how the mathematics can benefit from the control approaches is unclear. This paper aims to bring the "control design" idea into the mathematics by providing an observer-based iterative method that focuses on solving linear algebraic equations (LAEs).
arxiv  

Toward Multi-Agent Reinforcement Learning for Distributed Event-Triggered Control [PDF]

open access: yesarXiv, 2023
Event-triggered communication and control provide high control performance in networked control systems without overloading the communication network. However, most approaches require precise mathematical models of the system dynamics, which may not always be available.
arxiv  

Control Theory: A Mathematical Perspective on Cyber-Physical Systems [PDF]

open access: yes, 2015
Control theory is an interdisciplinary field that is located at the crossroads of pure and applied mathematics with systems engineering and the sciences.

core   +2 more sources

Information Theoretical Approach to Control of Quantum Mechanical Systems [PDF]

open access: yesPhys. Rev. A 68 (2003) 064302, 2004
Fundamental limits on the controllability of quantum mechanical systems are discussed in the light of quantum information theory. It is shown that the amount of entropy-reduction that can be extracted from a quantum system by feedback controller is upper bounded by a sum of the decrease of entropy achievable in open-loop control and the mutual ...
arxiv   +1 more source

Parallel accelerated cyclic reduction preconditioner for three-dimensional elliptic PDEs with variable coefficients

open access: yes, 2017
We present a robust and scalable preconditioner for the solution of large-scale linear systems that arise from the discretization of elliptic PDEs amenable to rank compression.
Chávez, Gustavo   +3 more
core   +1 more source

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