Proceedings of 12th IEEE International Symposium on Intelligent Control

16-18 July 1997

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  • Proceedings of 12th IEEE International Symposium on Intelligent Control

    Publication Year: 1997
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    Freely Available from IEEE
  • Advances in robust control design [extended abstract]

    Publication Year: 1997, Page(s): 1
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (75 KB)

    Summary form only given, as follows. The author overviews the exciting developments in the field of Robust Multivariable Feedback Control System Design. The philosophy behind these design methodologies is that in addition to a nominal model of the plant, the designer must have quantitative information about the inevitable modeling errors. Two classes of modeling errors occur simultaneously: (a) pa... View full abstract»

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  • A fuzzy robust controller for induction machine

    Publication Year: 1997, Page(s):83 - 88
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    This paper describes the fuzzy proportional-plus-integral controller for the speed control of an induction motor and compares the simulation results with those obtained by a conventional PI controller. Results have proved that the fuzzy controller gives higher performances and is less sensitive to motor parameters variations. Simulations were made by Simulink and Matlab software using the direct f... View full abstract»

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  • Robust control applied to robot arm

    Publication Year: 1997, Page(s):149 - 154
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (649 KB)

    Fuzzy control has emerged as a practical alternative to several conventional control schemes since it has shown success in some application areas. This paper aims to prove that the controller presented by the authors can be used in the multi-link plant. The fuzzy scheme, only based on the knowledge of the system behavior, does not need any mathematical model and it offers, both globally stable rob... View full abstract»

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  • Telemanipulator neurocontrol using multiple RBF networks

    Publication Year: 1997, Page(s):257 - 262
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (669 KB)

    This paper addresses the control problem of masterslave systems which involve severe modeling errors and other high-level uncertainties, using neural networks. The solution approach is based on a recent teleoperator control scheme of S. Lee and H.S. Lee (1993, 1994), which is suitably enhanced such that to become capable of compensating the uncertainties. The class of radial-basis functions (RBF) ... View full abstract»

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  • Robot control using a sliding mode

    Publication Year: 1997, Page(s):361 - 366
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (444 KB)

    The dynamical model of robot manipulator is represented by a system of equations which are nonlinear and strongly coupled. Furthermore, the inertial parameters of the manipulator depend on the payload which is often unknown and variable. So, to avoid these problems we studied a variable structure system which is well suited for robotic arms. To this end an application of the sliding mode control b... View full abstract»

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  • Author index

    Publication Year: 1997, Page(s):435 - 436
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    Freely Available from IEEE
  • Simulation of traffic flow system and control using fuzzy logic

    Publication Year: 1997, Page(s):325 - 330
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (516 KB)

    Fuzzy control can be used to control traffic problems. The traffic problem consists of coming and going lane, junction, traffic jam and traffic light. In this study, fuzzy control has three inputs. The first input is average traffic density while the green light is on. The second input is average traffic density while the red light is on. The third input is time of variation. There are three membe... View full abstract»

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  • Similarity-based rules reduction of a fuzzy logic controller for a PMDC motor drive system

    Publication Year: 1997, Page(s):319 - 324
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (456 KB)

    This paper investigates the effects of reducing the number of rules in a fuzzy logic controller (FLC) for a permanent magnet direct current (PMDC) motor. The reliability of the resulting controller, with fewer rules, is also investigated. First, rule extraction is shown front typical transient responses of a PMDC motor when the reference speed changes in a step-like manner. Next, the total number ... View full abstract»

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  • Neural network integration in control system structures: a case study towards intelligent control by neural network integration

    Publication Year: 1997, Page(s):167 - 172
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (460 KB)

    Neural networks techniques have been found to be useful for controlling highly uncertain, nonlinear and complex systems. The possibility of applying neural networks for modelling of unknown functions in dynamic environments has been demonstrated by several empirical studies. Allowing unknown nonlinearities in the system to be controlled we extend the class of uncertain systems that adaptive contro... View full abstract»

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  • Intelligent control design for a class of automotive systems: case study

    Publication Year: 1997, Page(s):313 - 318
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (540 KB)

    Diesel engines are highly versatile systems and have been heavily used in various industrial applications. But despite several of their attractive features, they suffer from highly nonlinear and time varying dynamics making them hard to control. The current study provides means for comparing four types of controllers, some of which are adaptive-based and others are knowledge-based. The main goal i... View full abstract»

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  • Optimal phase current profiling of SRM by fuzzy logic controller to minimize torque ripple

    Publication Year: 1997, Page(s):77 - 82
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (424 KB)

    This paper presents torque ripple minimization of switched reluctance motor (SRM) by using fuzzy speed controller. The nonlinear model of SRM is used and the motor used in simulation is a 8/6 SRM with C-Dump converter. The fuzzy controller adjusts value of reference current to keep speed constant. The results show that the fuzzy logic is effective in reducing the torque ripple of the motor, and co... View full abstract»

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  • Matrix approach to deadlock avoidance of dispatching in multi-class finite buffer reentrant flow lines

    Publication Year: 1997, Page(s):397 - 402
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (592 KB)

    For a very general class of finite-buffer multi-class reentrant flow lines, necessary and sufficient conditions are given for the absence of deadlock in terms of circular wait relations. The result is a multi-class last buffer first serve (LBFS) dispatching policy for finite buffer flow lines. The notion of so-called “critical siphons”, as well as the novel notion of “critical tr... View full abstract»

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  • Neuro-based adaptive torque control of a flexible arm

    Publication Year: 1997, Page(s):239 - 244
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (464 KB)

    This paper presents a neuro-based adaptive control (NBAC) for torque control of a flexible arm with structural uncertainties. In the NBAC, a neural net (NN) is connected in parallel with a linearized plant model, so that the NN is expected to identify the uncertainties included in the plant. The NN works as an adaptive controller simultaneously that can compensate for the uncertainties. The NBAC i... View full abstract»

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  • PID controllers for robust performance

    Publication Year: 1997, Page(s):309 - 312
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (228 KB)

    We present a control strategy based on a two degree-of-freedom structure. This control scheme aims to deal with robust performance. We focus on the PID controller, and propose general conditions ensuring robustness for first and second order systems with large parameter uncertainties View full abstract»

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  • Short term load forecasting using genetically optimized neural network cascaded with a modified Kohonen clustering process

    Publication Year: 1997, Page(s):107 - 112
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (496 KB)

    A new intelligent approach is developed for short-term load forecasting (STLF). The technique consists of three basic modules. The first module employs the clustering of daily load curves using a modified Kohonen algorithm (MKA). The second module determines the most appropriate supervised neural network topology and associated initial weight values for each cluster extracted from a historical dat... View full abstract»

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  • A real coded genetic algorithm for matrix inequality design approach of robust PID controller with two degrees of freedom

    Publication Year: 1997, Page(s):119 - 124
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (316 KB)

    Presents a new, real-coded genetic algorithm and proposes a new design method for a robust PID controller with two degrees of freedom. This design method is based on the matrix inequality and on a real-coded genetic algorithm as an optimization technique. The 2-DOF PID controller designed by the proposed method satisfies the robust stability of a closed-loop system against parametric uncertainties... View full abstract»

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  • Fuzzy logic control of a switched reluctance motor including mutual inductances and operating in the linear region

    Publication Year: 1997, Page(s):73 - 76
    Cited by:  Papers (3)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (288 KB)

    The paper describes application of fuzzy logic in a speed control system that uses a C-Dump converter and a switched reluctance motor (SRM). In this paper, a novel control solution based on the fuzzy logic control (FLC) principle is formulated, and designed. The main aim of this paper is the minimization of acoustic noise in a 8/6 SRM by sum of the square of the phase currents and FLC methods in t... View full abstract»

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  • Neural network generalization and system sensitivity in feedback control systems

    Publication Year: 1997, Page(s):233 - 238
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (476 KB)

    A new framework for quantifying and analyzing the generalization ability of neural networks in control systems is presented. Rigorous definitions to quantify the generalization ability of a neural network in the context of system control are given. Utilizing these definitions, it is proved that a successfully trained neural network always generalize “well” to some extent. This dual pro... View full abstract»

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  • Input linearization of nonlinear systems via pulse width control

    Publication Year: 1997, Page(s):303 - 308
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (424 KB)

    Input linearization of a general kind of nonlinear system can be achieved by adding a pulse width (modulated) control block prior to the nonlinear system. Therefore the combined system from the pulse width control input to the nonlinear system output behaves as a linear control system. By this way a complex and cumbersome nonlinear system model can be easily transformed to a much simpler linear co... View full abstract»

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  • Neural control of MIMO nonlinear plants: a gain scheduling approach

    Publication Year: 1997, Page(s):193 - 197
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (312 KB)

    A neural controller design technique for MIMO nonlinear plants is presented. In a first stage, the plant is identified by a neural network model. In a following stage, using the neural network model, linearized models of the plant are obtained about several operating points. With the aid of conventional linear control theory, linear controllers are designed. Finally, a neural-controller is trained... View full abstract»

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  • Neural networks for classification and recognition of individual users in adaptive human-computer interface

    Publication Year: 1997, Page(s):101 - 106
    Cited by:  Papers (1)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (476 KB)

    The paper reports on a methodology for the identification of novel users from responses to computer-generated tasks. It is proposed that the cluster structure of the initial pool of data is identified. Standard neural algorithms are employed for classification according to the cluster structure. For recognition of patterns of data within each class, a compound network is employed that “indiv... View full abstract»

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  • Fuzzy controller design for parametric controllers

    Publication Year: 1997, Page(s):67 - 72
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (456 KB)

    In this study, fuzzy logic controller (FLC) design for tuning some parametric controllers are investigated. The objective in designing an FLC is to determine the rule base of the system and the data base which includes membership functions, set operations, and inference engine. Two designs have been realized using heuristic rule generation, one for a PID controller and one for a lead-lag type cont... View full abstract»

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  • A hybrid control approach for a class of underactuated mechanical systems

    Publication Year: 1997, Page(s):367 - 372
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (512 KB)

    This paper considers a stabilizing hybrid scheme to control a class of underactuated mechanical systems. The hybrid controller consists of a collection of state feedback controllers plus a discrete-event supervisor. When the continuous-state hits a switching boundary, a new controller is applied to the plant. Lyapunov theory is used to determine the stability of the closed-loop hybrid system. This... View full abstract»

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  • Robust control of an autonomous mobile manipulator

    Publication Year: 1997, Page(s):161 - 166
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (424 KB)

    A dynamic model for a mobile manipulator (robot manipulator mounted on a vehicle) is derived; the coupling effects between the two parts and a class of uncertainties are included. The uncertain nature of contact parameters between the wheels and ground calls for a robust control method. For control, all nonlinear terms and uncertainties are considered as external disturbances acting on a linear sy... View full abstract»

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