Quick design of fuzzy controllers with good interpretability in mobile robotics

M Mucientes, J Casillas - IEEE Transactions on Fuzzy Systems, 2007 - ieeexplore.ieee.org
This paper presents a methodology for the design of fuzzy controllers with good
interpretability in mobile robotics. It is composed of a technique to automatically generate a …

[PDF][PDF] List of references on evolutionary multiobjective optimization

CAC Coello - URL< http://www. lania. mx/~ ccoello/EMOO …, 2010 - delta.cs.cinvestav.mx
List of References on Evolutionary Multiobjective Optimization Page 1 List of References on
Evolutionary Multiobjective Optimization Carlos A. Coello Coello ccoello@cs.cinvestav.mx …

Incremental evolution of autonomous controllers for unmanned aerial vehicles using multi-objective genetic programming

GJ Barlow, CK Oh, E Grant - IEEE Conference on Cybernetics …, 2004 - ieeexplore.ieee.org
Autonomous navigation controllers were developed for fixed wing unmanned aerial vehicle
(UAV) applications using incremental evolution with multi-objective genetic programming …

Genetic programming guidance control system for a reentry vehicle under uncertainties

F Marchetti, E Minisci - Mathematics, 2021 - mdpi.com
As technology improves, the complexity of controlled systems increases as well. Alongside
it, these systems need to face new challenges, which are made available by this technology …

[HTML][HTML] Automatic design of interpretable control laws through parametrized Genetic Programming with adjoint state method gradient evaluation

F Marchetti, G Pietropolli, FJC Verdù, M Castelli… - Applied Soft …, 2024 - Elsevier
This work investigates the application of a Local Search (LS) enhanced Genetic
Programming (GP) algorithm to the control scheme's design task. The combination of LS and …

Attitude control of small electric helicopter by using quaternion feedback

S Suzuki, D Nakazawa, K Nonami… - Journal of System Design …, 2011 - jstage.jst.go.jp
In this study, a nonlinear attitude controller for a small unmanned electric helicopter is
designed by using quaternion feedback provided by the backstepping control method. First …

Evolutionary Machine Learning in Control

GY Cornejo Maceda, BR Noack - Handbook of Evolutionary Machine …, 2023 - Springer
This chapter aims to give an overview of recent applications of Evolutionary Machine
Learning (EML) to control including opportunities and challenges. Control is at the heart of …

Multi-objective Lyapunov-based controller design for nonlinear systems via genetic programming

MMA Ali, A Jamali, A Asgharnia, R Ansari… - Neural Computing and …, 2022 - Springer
In system control, stability is considered the most important factor as unstable system is
impractical or dangerous to use. Lyapunov direct method, one of the most useful tools in the …

Collision-free guidance control of small unmanned helicopter using nonlinear model predictive control

S Suzuki, T Ishii, Y Aida, Y Fujisawa… - SICE Journal of …, 2014 - Taylor & Francis
In this study, our aim is to realize collision-free guidance control for a small unmanned
helicopter. The simultaneous flight of multiple small unmanned helicopters has recently …

Evolving self-organized behavior for homogeneous and heterogeneous UAV or UCAV swarms

IC Price - 2006 - scholar.afit.edu
This investigation uses a self-organization (SO) approach to enable cooperative search and
destruction of retaliating targets with swarms of homogeneous and heterogeneous …