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10.2316/Journal.201.2009.2.201-1806
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ADAPTIVE SAMPLING FOR REAL-TIME CONTROL BASED ON SAMPLING URGENCY
P.C.Y. Chen,∗ L. Qian,∗ and A.N. Poo∗
doi:
10.2316/Journal.201.2009.2.201-1806
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Abstract
References
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10.2316/Journal.201.2009.2.201-1879
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INTELLIGENT SENSOR UNCERTAINTY MODELLING TECHNIQUES AND DATA FUSION
M. Kumar∗ and D.P. Garg∗∗
doi:
10.2316/Journal.201.2009.2.201-1879
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Abstract
References
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10.2316/Journal.201.2009.2.201-1921
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FUZZY LOGIC AND GENETIC ALGORITHMS SUPERVISORS FOR INTERNAL MODEL CONTROL STRATEGY
F. Bouani,∗ N. Mensia,∗ and M. Ksouri∗
doi:
10.2316/Journal.201.2009.2.201-1921
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Abstract
References
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10.2316/Journal.201.2009.2.201-1982
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HYBRID NEURO-FUZZY MULTI-OBJECTIVE TRAJECTORY PLANNING OF REDUNDANT MANIPULATORS
A. Khoukhi,∗ ,∗∗ L. Baron,∗∗ M. Balazinski,∗∗ and K. Demirli∗∗∗
doi:
10.2316/Journal.201.2009.2.201-1982
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Abstract
References
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10.2316/Journal.201.2009.2.201-1986
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OBSERVER DESIGN FOR LIPSCHITZ NONLINEAR SYSTEMS
K. Ma,∗ F. He,∗ and Y. Yao∗
doi:
10.2316/Journal.201.2009.2.201-1986
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Abstract
References
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10.2316/Journal.201.2009.2.201-2006
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A STABLE HIERARCHICAL FUZZY CONTROL DESIGN FOR CERTAIN NON-LINEAR SYSTEMS BASED ON INPUT–OUTPUT PASSIVITY THEORY
C. Xu∗ and Y.C. Shin∗∗
doi:
10.2316/Journal.201.2009.2.201-2006
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Abstract
References
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10.2316/Journal.201.2009.2.201-2042
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A COMBINED LQG/LTR AND FUZZY LOGIC STRATEGY FOR THE IMPROVED CONTROL OF A DRUM-TYPE BOILER–TURBINE PLANT
H. Habbi,∗ M. Kidouche,∗ and M. Zelmat∗
doi:
10.2316/Journal.201.2009.2.201-2042
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Abstract
References
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10.2316/Journal.201.2009.4.201-1939
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NEURAL NETWORK WITH DYNAMIC PROGRAMMING FOR TIME-OPTIMAL CONTROL OF CONICAL TANK LEVEL
N.S. Bhuvaneswari,∗ G. Uma,∗∗ and T.R. Rangaswamy∗
doi:
10.2316/Journal.201.2009.4.201-1939
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Abstract
References
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10.2316/Journal.201.2009.4.201-1961
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MULTIPLE MODEL AND MULTIPLE CONTROL APPROACHES: APPLICATION TO A SEMI-BATCH REACTOR
F. M’Sahli,∗ C. Fayeche,∗∗ and R.B. Abdennour∗∗
doi:
10.2316/Journal.201.2009.4.201-1961
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Abstract
References
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10.2316/Journal.201.2009.4.201-2048
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APPROXIMATION BASED ADAPTIVE TRACKING CONTROL OF UNCERTAIN NONHOLONOMIC MECHANICAL SYSTEMS
J. Wang,∗ Z. Qu,∗∗ M.S. Obeng,∗ and X. Wu∗
doi:
10.2316/Journal.201.2009.4.201-2048
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Abstract
References
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10.2316/Journal.201.2009.4.201-2066
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DYNAMIC SET POINT WEIGHTED PID CONTROLLER
C. Dey,∗ R.K. Mudi,∗∗ and T.-T. Lee∗∗∗
doi:
10.2316/Journal.201.2009.4.201-2066
|
Abstract
References
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10.2316/Journal.201.2009.4.201-2092
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A MODEL PREDICTIVE FRAMEWORK FOR AUTONOMOUS 3D FORMATION FLIGHT OF HELICOPTER GROUPS
M. Saffarian∗ and F. Fahimi∗
doi:
10.2316/Journal.201.2009.4.201-2092
|
Abstract
References
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10.2316/Journal.201.2009.4.201-2095
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DESIGN OF A ROBUST FUZZY POWER SYSTEM STABILIZER
M. Soliman,∗ A.-L. Elshafei,∗∗ F. Bendary,∗ and W. Mansour∗
doi:
10.2316/Journal.201.2009.4.201-2095
|
Abstract
References
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10.2316/Journal.201.2009.4.201-2130
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INITIAL CONDITIONS BASED SLIDING MODE CONTROLLER DESIGN FOR IMPROVED PERFORMANCE OF BUCK CONVERTER
R. Anasra j∗ and S. Thomas∗
doi:
10.2316/Journal.201.2009.4.201-2130
|
Abstract
References
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What is a Digital Object Identifer (DOI)?
American Mathematical Society - Mathematical Reviews
Cambridge Scientific Abstracts
Compendex (Engineering Information)
FIZ Karlsruhe
INSPEC
This international journal publishes both theoretical and application-oriented papers on various aspects of conventional and intelligent control, intelligent systems, and soft computing including fuzzy logic, neural networks, genetic algorithms/evolutionary computing, and probabilistic methods. Techniques may include frequency and time domains, linear and nonlinear systems, and deterministic and stochastic processes. Hybrid techniques that combine conventional and soft-computing methods are also included. First published in 1972, this journal originated with an emphasis on conventional control systems and computer-based applications. Subsequently, with rapid advances in the field and in view of the widespread interest and application of soft computing in control systems, this latter aspect was integrated into the journal. A unique feature of the journal is its pioneering role in bridging the gap between conventional control systems and soft computing, with an equal emphasis on theoryand practical applications, including system design and instrumentation.
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