Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527)

10-14 June 2002

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  • Proceedings of the 4th World Congress on Intelligent Control and Automation [front matter]

    Publication Year: 2002, Page(s):0_1 - 39
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    Freely Available from IEEE
  • An intelligent system for real-time monitoring and fault predicting

    Publication Year: 2002, Page(s):2737 - 2741 vol.4
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    First Page of the Article
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  • Author index

    Publication Year: 2002, Page(s):3354 - 3369
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    Freely Available from IEEE
  • Identification for integrating processes in the frequency domain

    Publication Year: 2002, Page(s):3344 - 3348 vol.4
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    In this paper, a new identification method in the frequency domain from a relay-based test is proposed for integrating processes. In the relay test, only the very first period of oscillating input is implemented, which automatically results in a two-side pulse signal. The two-side pulse waveform contains enough larger spectrum magnitude over the important frequency range so that the process freque... View full abstract»

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  • Auto-tuning of cascade control systems

    Publication Year: 2002, Page(s):3339 - 3343 vol.4
    Cited by:  Papers (1)
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    In this paper, a novel auto-tuning method for cascade control system is proposed. By utilizing the fundamental characteristic of cascade control systems, a simple relay feedback test is applied to the outer loop to identify simultaneously both inner and outer loop model parameters. A model matching PID controller tuning method based on the Pade coefficient and Markov parameter approximation is pro... View full abstract»

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  • A gradient-guided niching method in genetic algorithm for solving continuous optimisation problems

    Publication Year: 2002, Page(s):3333 - 3338 vol.4
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (669 KB) | HTML iconHTML

    A hybrid genetic algorithm, which embeds a gradient-based local search route into a niching genetic algorithm, is proposed for solving continuous optimisation problems. The optimisation algorithm is applied to three nonlinear functions each having up to 100 variables and multi-minima. The test results show that relative to a standard niching algorithm the combination of a gradient-based search and... View full abstract»

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  • Study on condition monitoring and diagnosis system of hydroelectric generating set

    Publication Year: 2002, Page(s):2940 - 2943 vol.4
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    The hydroelectric generating set is suffered from the joint shock of water flow, machinery and electricity, its condition monitoring and diagnosis is complicated. Besides carefully to set suitable condition parameter measurement points, the diagnostic model is another key problem. In additional, how to link with the SCADA and MIS of hydropower station for the condition monitoring and diagnosis sys... View full abstract»

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  • A new type of reconfigurable control against actuator faults

    Publication Year: 2002, Page(s):2710 - 2713 vol.4
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    A new type of reconfigurable control strategy based on fault detection and diagnosis by using a model following method is presented. The method can make the outputs of a failing system exactly track those of a reference model by detecting the location and amplitude of failure of an actuator failure, modify control parameters, and redesign the control law online to counteract dynamics caused by act... View full abstract»

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  • 3D feature recognition base on CNN

    Publication Year: 2002, Page(s):3044 - 3047 vol.4
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    A 3D model feature recognition is an important problem in CIMS, and act as the bridge between CAD and CAM. With the topologic and complicated data of the 3D model, it is very difficult to find the feature. A constructive neural network is applied to the problem in the paper. The algorithm can recognize eight different simple features from each other, and can deal with some cross-feature. The resul... View full abstract»

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  • Application of rough sets to fault diagnoses

    Publication Year: 2002, Page(s):2742 - 2745 vol.4
    Cited by:  Papers (2)
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    A fault diagnosis inference model was built based on the advantages of effectively simple decision rules and the easy reality of rough sets. Rough sets were applied to the fault diagnosis of a tank reactor. It simplifies the diagnosis rules without affecting the diagnosis. View full abstract»

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  • A nonlinear PID controller for CSTR using local model networks

    Publication Year: 2002, Page(s):3278 - 3282 vol.4
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (465 KB) | HTML iconHTML

    The basic PID controllers have difficulty in dealing with problems that appear in complex nonlinear processes. This paper presents a practical nonlinear PID controller that deals with these nonlinear difficulties. It utilises a local model (LM) network, which combines a set of local models within an artificial neural network (ANN) structure, to adaptively characterise the process nonlinearity. The... View full abstract»

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  • Time delay filter technique in TDO feedback control for uncertain flexible systems

    Publication Year: 2002, Page(s):3328 - 3332 vol.4
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (428 KB) | HTML iconHTML

    Time delay filter (TDF) and time delay observer (TDO) are combined together to achieve fast system response without residual vibration in LTI-SISO systems with uncertainties. The time delay observer is used as a feedback control to resist disturbances and parameter variations, and time delay filter is used to suppress residual vibrations, which is placed outside the closed-loop system. Simulation ... View full abstract»

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  • Robust nonlinear control for bank-to-turn missile

    Publication Year: 2002, Page(s):2973 - 2977 vol.4
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (383 KB) | HTML iconHTML

    Based on the two-timescale assumption, the dynamics of the Bank-to-Turn (BTT) missile are firstly separated into two parts: the dynamics of fast states and the dynamics of slow states. The velocities of BTT missile are chosen as state variables of the slow dynamics. The aerodynamic force coefficients are not linearized. First, the dynamics of fast states and the dynamics of slow states are lineari... View full abstract»

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  • Research on recognition algorithm of moving-target on the battlefield

    Publication Year: 2002, Page(s):2693 - 2696 vol.4
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    A new target recognition algorithm based on the combination of radar and acoustic sensors is proposed in this paper. Firstly, the velocity, the first dominant frequency and the second dominant frequency of the target are taken as effective characteristics, and then the expression of the basic probability assignment function for the target character is obtained though fuzzy inference. Secondly, D-S... View full abstract»

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  • An optimal neural network speed estimator using genetic algorithms

    Publication Year: 2002, Page(s):2936 - 2939 vol.4
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    In direct torque control system, a speed-estimating method based on an optimal neural network using genetic algorithms is presented to estimate the rotor speed of asynchronous motors. According to the equations of asynchronous motors, the equation of speed is gotten, a speed estimator model based on recursive neural networks is also gotten, and genetic algorithms optimize the speed estimator. The ... View full abstract»

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  • Quantum motion control in quantum computer

    Publication Year: 2002, Page(s):2906 - 2908 vol.4
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (325 KB)

    The objective of this paper is to consider the origin of the decay of the coherence by using analysis of a mathematical model of decoherence in a quantum computer, and then to study control methods to maintain quantum coherence. View full abstract»

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  • A model reference adaptive control algorithm for fuzzy dynamic systems

    Publication Year: 2002, Page(s):3242 - 3246 vol.4
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    This paper presents an approach to adaptive control for a class of fuzzy dynamic models. The adaptive control law is first designed in each local region and then constructed in global domain. It is shown that the resulting fuzzy adaptive control system is globally stable. Robustness issues of the adaptive control system are also addressed. View full abstract»

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  • A controller with impulse force moment design for two-links flexible manipulator

    Publication Year: 2002, Page(s):3058 - 3062 vol.4
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    A method of impulse force moment control is established for vertical planar two-links flexible manipulators. The elastic vibrations of two-link manipulators are decoupled from the flexible manipulator. The asymptotic stability of joint trajectory tracking control are proved. The simulation results show that, the elastic vibrations of two links manipulator are restrained when the tip trajectory of ... View full abstract»

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  • An approach to sensor fault diagnosis based on fully-decoupled parity equation and parameter estimation

    Publication Year: 2002, Page(s):2750 - 2754 vol.4
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (427 KB)

    An approach for multiple sensor faults diagnosis is presented. Fully-decoupled parity equations and parameters estimation are combined in this method. The residual generated from a fully-decoupled parity equation is sensitive to a special sensor fault and decoupled from all other sensor faults. The faults in sensors are represented as biases and changes in scale factor. A parameter estimator based... View full abstract»

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  • Weighting adaptive control of Wiener model based on multilayer feedforward neural networks

    Publication Year: 2002, Page(s):2987 - 2990 vol.4
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    The parameter identification and control method of a typical class of nonlinear systems-Wiener model is studied. A two-step method is proposed to estimate the linear and nonlinear parts. The proposed identification model is made up of a linear autoregressive moving average model in cascade with a multilayer feedforward neural network. The nonlinearity effects can be eliminated by using the classic... View full abstract»

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  • An LMI approach to design robust fault detection observers

    Publication Year: 2002, Page(s):2705 - 2709 vol.4
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    In this contribution, the robust fault detection observer design problem for LTI systems with both disturbances and modelling errors are studied. The basic idea of our study is to split the system state into plant state and the so called fault state, while the fault state is used to diagnose the occurrence of the fault. Then the main task of FDI becomes the fault state optimal estimation problem. ... View full abstract»

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  • Adaptive backstepping control for a class of strict feedback nonlinear systems using radial basis neural network

    Publication Year: 2002, Page(s):3022 - 3026 vol.4
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (441 KB) | HTML iconHTML

    Addresses the problem of designing robust output tracking control for strict-feedback nonlinear systems with unknown nonlinear functions and unknown virtual coefficient nonlinear functions using radial basis neural networks. By defining desired control, a smooth and singularity-free adaptive controller is firstly designed for a first-order plant. Then, an extension is made to high-order nonlinear ... View full abstract»

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  • Fault detection for uncertain sampled-data systems

    Publication Year: 2002, Page(s):2728 - 2732 vol.4
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (438 KB) | HTML iconHTML

    Studies the fault detection (FD) problem for uncertain sampled-data systems. A direct design approach of the discrete-time FD system is presented which takes the intersample behavior into account. The resulting FD system achieves the best compromise between the sensitivity to the faults and the robustness to the unknown disturbances and model uncertainty. View full abstract»

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  • Design of a new controller based on D-S evidential theory

    Publication Year: 2002, Page(s):3093 - 3095 vol.4
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    The single-input and single-output loop controller using only one sensor is widely applied in the industrial control field. As it is difficult to obtain the precise response of the control using only one sensor, the result cannot satisfy the demand. In the multi-sensors system, one must solve the problem of fusing different uncertainty data. This paper discusses a new design method for the control... View full abstract»

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  • Neural network control with fuzzy predictor for ship autopilots

    Publication Year: 2002, Page(s):3141 - 3144 vol.4
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (379 KB)

    A neural network control scheme with fuzzy predictor for ship autopilots is proposed. Parameters of a fuzzy predictor are optimized by using a genetic algorithm. The BP (backpropagation) learning algorithm is used for neural network control. The simulation result has shown that the proposed control scheme is effective. View full abstract»

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