Dominique Luzeaux  Home/Search
Context Related
| etca.fr/CTA/gip/Publis/...expersys96.ps Cached: PS.gz PS PDF This document uses CoBlitz to cache paper downloads. If your firewall is blocking outgoing connections to port 3125, you can use these links to download local copies.
Image Update HelpPS.gz PS PDF From: etca.fr/CTA/gip/Publis/Lu...Index (more) (Enter author homepages) |
Rate this article:      (best)Comment on this article |
Abstract: The aim of this tutorial is to present the necessary interactions between machine learning and control theory. First we recall the basic definitions of control theory and machine learning. After a brief review of the various approaches in machine learning -- distinguishing between supervised and unsupervised learning --, we discuss the major methods used in intelligent control. Then we expose another approach based on qualitative physics and rulebased incremental control, and describe its... (Update)
Context of citations to this paper: More
.... classical approach fails for the control problems appearing in modern applications from, for example, robotics and manufacturing [2, 16, 23, 31]: e.g. very often the tasks to be controlled are too complex or just not completely known (e.g. robots in unknown environment, a...
Cited by: More
Structural Measures for Games and Process Control in the.. - Ott, Stephan (1997) (Correct)
Similar documents (at the sentence level):
6.4%: Rule-Based Control and Learning: Application to Mobile Robotics - Luzeaux (1995) (Correct)
5.7%: Autonomous Small Robots for Military Applications - Luzeaux (2000) (Correct)
Active bibliography (related documents): More All
1.7: How to deal with robot motion? Application to car-like robots - Luzeaux (Correct)
0.8: Learning Knowledge-Based Systems and Control of Complex Systems - Luzeaux (1997) (Correct)
0.6: Parking Maneuvers and Trajectory Tracking: Rule-Based Incremental .. - Luzeaux (Correct)
Similar documents based on text: More All
0.4: Rule-Based Incremental Controllers: An Open Door to Learning .. - Dominique Luzeaux (1992) (Correct)
0.4: Process Control and Machine Learning - Luzeaux Zavidovique (1990) (Correct)
0.3: Steps Or Stages for Incremental Learning - Dominique Luzeaux Eric (Correct)
BibTeX entry: (Update)
D. Luzeaux. Machine learning applied to the control of complex systems. In 8th International Conference on Artificial Intelligence and expert systems applications, Paris, France, 1996. http://citeseer.ist.psu.edu/luzeaux96machine.html More
@misc{ luzeaux96machine,
author = "D. Luzeaux",
title = "Machine learning applied to the control of complex systems",
text = "D. Luzeaux. Machine learning applied to the control of complex systems.
In 8th International Conference on Artificial Intelligence and expert systems
applications, Paris, France, 1996.",
year = "1996",
url = "citeseer.ist.psu.edu/luzeaux96machine.html" }
Citations (may not include all citations):625 Kluwer Academic Publishers (context) - Latombe, Planning - 1991
493 Communications of the ACM (context) - Valiant, of - 1984
412 Language identification in the limit (context) - Gold - 1967
362 Nonlinear control systems (context) - Isidori - 1989
290 The complexity of robot motion planning (context) - Canny - 1987
190 Inductive inference: theory and methods (context) - Angluin, Smith - 1983
141 Nonholonomic motion planning: steering using sinusoids - Sastry, Murray - 1991
107 A fuzzy-logic-based approach to qualitative modeling (context) - Sugeno, Yasukawa - 1993
71 The artificial life roots of artificial intelligence - Steels - 1994
57 Systems that learn (context) - Osherson, Stob et al. - 1986
54 An opportunistic global path planner - Canny, Lin - 1990
27 Neural networks for self-learning control systems (context) - Nguyen, Widrow - 1990
27 Stabilization of trajectories for systems with nonholonomic .. - Walsh, Tilbury et al. - 1992
27 Handbook of intelligent control (context) - White, Sofge - 1992
22 Iterative learning control for deterministic systems (context) - Moore - 1993
19 Process control and machine learning: rule-based incremental.. (context) - Luzeaux - 1994
18 Connectionist robot motion planning: a neurally-inspired app.. (context) - Mel - 1990
18 A self-learning rule-based controller employing approximate .. (context) - Lee - 1991
16 Miscellaneous on rule-based incremental control: from stabil.. - Luzeaux - 1992
15 A motion planner for car-like robots based on a mixed global.. (context) - Laumond, Taix et al. - 1990
14 Intelligent robotic control (context) - Saridis - 1983
12 Intelligent control: aspects of fuzzy logic and neural nets (context) - Harris, Moore et al. - 1993
11 How to deal with robot motion (context) - Luzeaux - 1992
11 Neural networks and fuzzy systems: a dynamical approach to m.. (context) - Kosko - 1992
10 function determines form (context) - Albertini, Sontag et al. - 1992
9 Let's learn to control a system - Luzeaux - 1993
9 Learning and control from a recursive viewpoint - Martin, Luzeaux et al. - 1992
8 A solution of the syntactical induction-inference problem fo.. (context) - Pao, Carr - 1978
8 Oracles for learning programs (context) - Martin - 1993
8 Parking maneuvers and trajectory tracking (context) - Luzeaux - 1994
7 Steering car-like systems with trailers using sinusoids (context) - Tilbury, Laumond et al. - 1992
7 Mobile robot control by a structured hierarchical neural net.. (context) - Nagata, Sekiguchi et al. - 1990
7 Control and learning: from local actions to global behaviors - Sigaud, Luzeaux - 1995
6 Goal-directed encoding of task knowledge for robotic skill a.. (context) - Handelman, Lane et al. - 1991
6 Rule-based control and learning : application to mobile robo.. - Luzeaux - 1995
6 Robotic control and non holonomic motion planning (context) - Murray - 1990
5 Rule-based incremental control and nonholonomic systems: tim.. - Luzeaux, Meunier - 1996
4 Application of artificial intelligence (context) - Boullart, Krijgsman et al. - 1992
3 Computability in control - Martin, Luzeaux - 1994
3 The mixed approach for motion planning: learning global stra.. (context) - Faverjon, Tournassoud - 1987
3 Intelligent control: an overview and evaluation (context) - Astrom, McAvoy - 1992
2 Planning versus controllability via the multibody car system.. (context) - Laumond - 1990
2 an Artificial Intelligence Approach Volume (context) - Michalski, Carbonell et al. - 1986
1 Experiments in neural network control of a free-flying space.. (context) - Wilson - 1993
1 Weight identifiability in discrete-time recurrent nets (context) - Albertini, Sontag - 1992
1 The truck backer-upper (context) - Nguyen, Widrow - 1990
1 Tioga Publishing Compagny Palo Alto CA (context) - Michalski, Carbonell et al. - 1983
1 Control of a mobile robot by the fuzzy theory (context) - Ohkatia, Miyata et al. - 1991
1 Knowledge based fuzzy control of systems (context) - van der Rhee, Lemke et al. - 1990
Documents on the same site (http://www.etca.fr/CTA/gip/Publis/Luzeaux/Index.html): More
How to deal with robot motion? Application to car-like robots - Luzeaux (Correct)
Steps Or Stages for Incremental Learning - Dominique Luzeaux Eric (Correct)
Autonomous Small Robots for Military Applications - Luzeaux (2000) (Correct)
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC