In this paper, the asymptotic tracking problem is considered for a class of multivariable nonlinear systems by using the principles of singular perturbation theory. Sufficient conditions together with a high-gain PI c...
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In this paper, the asymptotic tracking problem is considered for a class of multivariable nonlinear systems by using the principles of singular perturbation theory. Sufficient conditions together with a high-gain PI controller are given for a solution to exist. An application study of a three-link rigid robotic manipulator is included to illustrate the type of results which may be obtained by using the proposed controller.
An intelligent and robust voting service for real-time distributed controlsystems is proposed. Three novel features of the voter are described. Firstly, the voter is distributed using a primary site algorithm. This a...
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Current computer aided control system design environments seldom support optimization methods for controller design in a truly interactive manner. A prototype tool, called PARSIM, supporting parallel processing, optim...
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Current computer aided control system design environments seldom support optimization methods for controller design in a truly interactive manner. A prototype tool, called PARSIM, supporting parallel processing, optimization and a graphical user interface is presented addressing many of the problems inherent in current approaches to multiobjective optimization based design methods. An XWindows interface is used to simplify problem formulation and control the optimization processes. Using a previously developed interface, the computational burden may be alleviated by parallel processing.< >
We introduce a new model of fuzzy pattern recognition where data available about class membership are given implicitly rather than explicitly. While the explicit classification training set conveys complete details ab...
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We introduce a new model of fuzzy pattern recognition where data available about class membership are given implicitly rather than explicitly. While the explicit classification training set conveys complete details about class membership, the implicit format of classification lends itself to more synthetic forms of classification outcomes (such as those expressed in terms of similarities between some pairs of patterns). The relevant architectures are proposed along with the pertinent learning schemes.< >
This paper outlines some preliminary work on the stability analysis of switched and hybrid systems. The hybrid systems considered are those that combine continuous dynamics, represented by differential or difference e...
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This paper outlines some preliminary work on the stability analysis of switched and hybrid systems. The hybrid systems considered are those that combine continuous dynamics, represented by differential or difference equations, with finite dynamics usually thought of as being a finite automaton. Here, we concentrate on the continuous dynamics and model the finite dynamics as switching among finitely many continuous systems. We introduce multiple Lyapunov functions as a tool for analyzing Lyapunov stability of such "switched systems". We use iterated function systems theory as a tool for Lagrange stability. We also discuss the case where the switched systems are indexed by an arbitrary compact set.< >
Considers nonlinear systems with stable linear unmodeled dynamics at the input. First the authors illustrate the main instability mechanisms on an example. Then the authors propose a dynamic feedback design which guar...
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Considers nonlinear systems with stable linear unmodeled dynamics at the input. First the authors illustrate the main instability mechanisms on an example. Then the authors propose a dynamic feedback design which guarantees global boundedness in the presence of input unmodeled dynamics. The authors apply this design to feedback linearizable systems, for which global asymptotic stability is also achieved.< >
This paper introduces a framework of tools which allow the design of distributed, potentially fault-tolerant, real-time control software. This framework takes a system specified in the controlengineering domain and t...
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This paper introduces a framework of tools which allow the design of distributed, potentially fault-tolerant, real-time control software. This framework takes a system specified in the controlengineering domain and translates this application-oriented representation into a software engineering representation. From this new representation, automatic code generation tools have been developed to create a complete, executable control system implementation.< >
The strip temperature dynamics of the heating furnace of the continuous galvenizing line (CGL) consists of dead time and time lag against the change of various plant variables. The exact identification of these charac...
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The strip temperature dynamics of the heating furnace of the continuous galvenizing line (CGL) consists of dead time and time lag against the change of various plant variables. The exact identification of these characteristics is difficult because the dynamics is time-varying depending upon the operational conditions and long-term shifts of plant characteristics. In view of these facts, the author applied the self-tuning generalized predictive control to the strip temperature control of the heating furnace, obtained fine control performance, and established a new strip temperature control for the heating furnace of CGL or CAPL (continuous annealing and processing line). This control has been successfully applied at the No.5CGL of Nagoya Works of Nippon Steel Corporation since June 1990 and the basic principle of the control has been transferred to the No.2CAPL of Nagoya Works and the No.2CAPL of Kimitsu Works.< >
作者：
S.V. GaikwadD.E. RiveraDepartment of Chemical
Bio and Materials Engineering and Control Systems Engineering Laboratory Computer-Integrated Manufacturing Systems Research Center Arizona State University Tempe AZ USA
control-ID is a computer aided controlengineering (CACE) tool serving as a support environment for computer aided control system design (CACSD) in the chemical process industry. The fundamental basis for this tool is...
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control-ID is a computer aided controlengineering (CACE) tool serving as a support environment for computer aided control system design (CACSD) in the chemical process industry. The fundamental basis for this tool is the theory of control-relevant system identification, which takes advantage of the interplay between identification and control design. control-ID is implemented using MATLAB on a VAXStation 4000 cluster, which is integrated in real-time to an industrial-scale Honeywell TDC 3000 plant information and control system. control action is computed on the TDC 3000 system using low-order difference equations, which yield superior performance over traditional PID control while resembling the behavior of model predictive controlsystems. Results from a simulation study using a gas/oil furnace are reported.< >
This paper presents experimental results on empirical nonlinear models (of the Hammerstein type) for a reactive ion etcher. A nonlinear tracking controller design based on the nonlinear model was implemented. Experime...
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This paper presents experimental results on empirical nonlinear models (of the Hammerstein type) for a reactive ion etcher. A nonlinear tracking controller design based on the nonlinear model was implemented. Experimental data on the performance of the control system is also included.
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