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10.2316/Journal.201.2008.1.201-1614
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OPTIMAL FUSION REDUCED-ORDER KALMAN ESTIMATORS FOR DISCRETE-TIME STOCHASTIC SINGULAR SYSTEMS
S.L. Sun, Y.L. Shen, and J. Ma
doi:
10.2316/Journal.201.2008.1.201-1614
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Abstract
References
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10.2316/Journal.201.2008.1.201-1679
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CONTROLLING MODEL TRUST WITH COMPACTLY SUPPORTED SMOOTH RBF
J. Poland and K. Knödler
doi:
10.2316/Journal.201.2008.1.201-1679
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Abstract
References
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10.2316/Journal.201.2008.1.201-1715
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STATE FEEDBACK SINGULAR H ∞ CONTROL FOR SWITCHED LINEAR SYSTEMS
F. Long, S. Fei, and S. Zheng
doi:
10.2316/Journal.201.2008.1.201-1715
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Abstract
References
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10.2316/Journal.201.2008.1.201-1722
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MOTION CONTROL OF A NONLINEAR SPRING BY REINFORCEMENT LEARNING
I.O. Bucak, M.A. Zohdy, and M. Shillor
doi:
10.2316/Journal.201.2008.1.201-1722
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Abstract
References
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10.2316/Journal.201.2008.1.201-1755
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ROBUST OPTIMAL CONTROL IN NOT-COMPLETELY CONTROLLABLE LINEAR TIME-VARYING SYSTEMS
E.M. Khazen
doi:
10.2316/Journal.201.2008.1.201-1755
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Abstract
References
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10.2316/Journal.201.2008.1.201-1775
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GENETIC ALGORITHMS FOR A SINGLE-TRACK VEHICLE AUTONOMOUS PILOT
D. Vra jitoru, P. Konnanur, and R. Mehler
doi:
10.2316/Journal.201.2008.1.201-1775
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Abstract
References
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10.2316/Journal.201.2008.1.201-1808
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OPTIMIZATION OF DYNAMIC RAMP METERING CONTROL WITH SIMULTANEOUS PERTURBATION STOCHASTIC APPROXIMATION
S.I. Chien and J. Luo
doi:
10.2316/Journal.201.2008.1.201-1808
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Abstract
References
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10.2316/Journal.201.2008.1.201-1820
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FAULT CLASSIFICATION FOR A CLASS OF TIME-VARYING SYSTEMS BY USING OVERLAPPED ART2A NETWORKS
H. Ben´tez-P´rez, J. Solano-Gonz´lez, F. Cardenas-Flores, and D.F. Garc´a-Nocetti ı e a ´ ı
doi:
10.2316/Journal.201.2008.1.201-1820
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Abstract
References
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10.2316/Journal.201.2008.1.201-1846
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MULTILEVEL CONTROLLER FOR LINEAR INTERCONNECTED DYNAMICAL SYSTEMS WITH CONSTRAINTS
M.F. Hassan
doi:
10.2316/Journal.201.2008.1.201-1846
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Abstract
References
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10.2316/Journal.201.2008.1.201-1869
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NEURAL NETWORK-BASED PREDICTION OF CARDIOVASCULAR RESPONSE DUE TO THE GRAVITATIONAL EFFECTS
Z. Li and W.W. Melek
doi:
10.2316/Journal.201.2008.1.201-1869
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Abstract
References
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10.2316/Journal.201.2008.1.201-1892
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DYNAMIC OUTPUT FEEDBACK SLIDING MODE CONTROL FOR UNCERTAIN SYSTEMS WITH STATE AND INPUT DELAYS
M.-C. Pai
doi:
10.2316/Journal.201.2008.1.201-1892
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Abstract
References
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10.2316/Journal.201.2008.1.201-1895
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NEURO BASED MODEL REFERENCE ADAPTIVE CONTROL OF A CONICAL TANK LEVEL PROCESS
N.S. Bhuvaneswari, G. Uma, and T.R. Rangaswamy
doi:
10.2316/Journal.201.2008.1.201-1895
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Abstract
References
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10.2316/Journal.201.2008.2.201-1601
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APPLICATION OF THE MULTIVARIABLE PREDICTIVE CONTROL ON A DISTILLATION COLUMN USING THE OPTIMIZATION METHODS
M. Sedraoui
doi:
10.2316/Journal.201.2008.2.201-1601
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Abstract
References
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10.2316/Journal.201.2008.2.201-1664
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A NOVEL MULTIPLE REFERENCE MODEL ADAPTIVE CONTROL APPROACH FOR MULTIMODAL AND DYNAMIC SYSTEMS
S. Kamalasadan1, and A.A. Ghandakly
doi:
10.2316/Journal.201.2008.2.201-1664
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Abstract
References
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10.2316/Journal.201.2008.2.201-1682
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A NEW METHOD FOR MONITORING AND TUNING PLASTIC INJECTION MOLDING MACHINES
H.Y. Lau, X. Li, and R. Du
doi:
10.2316/Journal.201.2008.2.201-1682
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Abstract
References
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10.2316/Journal.201.2008.2.201-1690
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AN OPTIMIZATION-BASED APPROACH TO SPECIAL-EVENTS TRAFFIC SIGNAL TIMING CONTROL
J.-S. Yang
doi:
10.2316/Journal.201.2008.2.201-1690
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Abstract
References
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10.2316/Journal.201.2008.2.201-1753
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NEURAL GENERALIZED PREDICTIVE CONTROL WITH REFERENCE CONTROL MODEL FOR AN INDUCTION MOTOR DRIVE
A. Merabet, M. Ouhrouche, and R.T. Bui
doi:
10.2316/Journal.201.2008.2.201-1753
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Abstract
References
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10.2316/Journal.201.2008.2.201-1861
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INTELLIGENT DRIVE FOR INDUCTION MOTOR CONTROL
P. Chatterjee, B.M. Karan, and P.K. Sinha
doi:
10.2316/Journal.201.2008.2.201-1861
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Abstract
References
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10.2316/Journal.201.2008.2.201-1875
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INTELLIGENT SENSORLESS CONTROL OF TWO-PHASE LINEAR BRUSHLESS DC MOTOR BASED ON A RECURRENT FUZZY NEURAL NETWORK
J.-L. Kuo and Z.-S. Chang
doi:
10.2316/Journal.201.2008.2.201-1875
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Abstract
References
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10.2316/Journal.201.2008.2.201-1888
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SIMULTANEOUS FAULT TOLERANCE ANALYSIS OF ACTUATORS AND SENSORS APPLICATION TO A FIVE TANK SYSTEMS
D. Mokeddem and A. Khellaf
doi:
10.2316/Journal.201.2008.2.201-1888
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Abstract
References
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10.2316/Journal.201.2008.2.201-1917
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A DISCRETE-TIME SLIDING WINDOW OBSERVER FOR MARKOVIAN SWITCHING SYSTEM: AN LMI APPROACH
A. Hocine, M. Chadli, D. Maquin, and J. Ragot
doi:
10.2316/Journal.201.2008.2.201-1917
|
Abstract
References
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10.2316/Journal.201.2008.2.201-1952
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DEVELOPMENT OF AN ADAPTIVE NEURO-FUZZY CONTROLLER FOR AN IM DRIVE
Z.R. Huang and M. Nasir Uddin
doi:
10.2316/Journal.201.2008.2.201-1952
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Abstract
References
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10.2316/Journal.201.2008.2.201-1980
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MONO-COMPONENT SIGNAL EXTRACTION AND ANALYSIS OF MECHANICAL WATCH MOVEMENTS
Q. He, S. Su, and R. Du
doi:
10.2316/Journal.201.2008.2.201-1980
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Abstract
References
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What is a Digital Object Identifer (DOI)?
This international journal publishes both theoretical and application-oriented papers on various aspects of mechatronic
systems, modelling, design, conventional and intelligent control, and intelligent systems. Application areas of mechatronics
may include robotics, transportation, energy systems, manufacturing, sensors, actuators, biological and health systems, and
automation. Techniques of artificial intelligence may include soft computing (fuzzy logic, neural networks, genetic
algorithms/evolutionary computing, probabilistic methods, etc.). Techniques may cover frequency and time domains, linear
and nonlinear systems, and deterministic and stochastic processes. Hybrid techniques of mechatronics that combine
conventional and intelligent 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. Later, the area of mechatronics is included as the main focus, in view of its rapid growth. A unique feature of the
journal is its pioneering role in bridging the gap between conventional systems and intelligent systems, with an equal
emphasis on theory and practical applications, including system modelling, design, instrumentation, and control. It appears
four times per year.
To obtain submission information, please click here.
To submit a paper, please click
here
.