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The Policy Iteration Algorithm for Average Continuous Control of Piecewise Deterministic Markov Processes
(SPRINGER, 2010)
The main goal of this paper is to apply the so-called policy iteration algorithm (PIA) for the long run average continuous control problem of piecewise deterministic Markov processes (PDMP`s) taking values in a general ...
Intelligent control of a quadrotor with proximal policy optimization reinforcement learning
(2018-12-24)
Aerial platforms, such as quadrotors, are inherently unstable systems. Generally, the task of stabilizing the flight of a quadrotor is approached by techniques based on classic and modern control algorithms. However, recent ...
A particle swarm optimizer for multi-objective optimization
(Universidad Nacional de La Plata. Facultad de Informática, 2005-12)
This paper proposes a hybrid particle swarm approach called Simple Multi-Objective Particle Swarm Optimizer (SMOPSO) which incorporates Pareto dominance, an elitist policy, and two techniques to maintain diversity: a ...
Design of dynamic experiments in modeling for optimization of batch processes
(American Chemical Society, 2009-03)
Finding optimal operating conditions fast with a scarce budget of experimental runs is a key problem to speeding up the development of innovative products and processes. Modeling for optimization is proposed as a systematic ...
Determination of the optimal periodic maintenance policy under imperfect repair assumption
(Universidade Federal de Minas GeraisUFMG, 2014-03-10)
An appropriate maintenance policy is essential to reduce expenses and risks related to repairable systems failures. The usual assumptions of minimal or perfect repair at failures are not suitable for many real systems, ...