The parametnzation and identification of vehicle vibrating structures are discussed in this paper. The determination of physical parameters from the abstract parameters that represent free coefficients in a transfer f...
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The parametnzation and identification of vehicle vibrating structures are discussed in this paper. The determination of physical parameters from the abstract parameters that represent free coefficients in a transfer function or state space model of the vehicle is investigated for the axle subsystems. The situation when some of the coefficients are known a priori, and also there are certain dependences, possibly nonlinear, among some physical parameters is investigated. Related to this grey box problem, an identification scheme is proposed to obtain the physical parameters from the unconstrained estimates of the abstract parameters of the axle models.
A robust modeling method of heat exchanger networks (HENs) with structured parametric perturbations has been used in this paper which results in a model in LFT form. The LFT of the overall HEN system can be generated ...
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A robust modeling method of heat exchanger networks (HENs) with structured parametric perturbations has been used in this paper which results in a model in LFT form. The LFT of the overall HEN system can be generated algorithmically from the model of the heat exchangers and from the network topology. Based on these modeling paradigms robust stability and performance tests have been applied using L/sub /spl infin// signal norms in a non-standard way to determine an upper bound for overshoots in HENs. The proposed method has been illustrated on the simple example of a countercurrent heat exchanger with bypass.
The presence of colored tokens and time opens the possibility to combine high level Petri nets for describing operating procedures and constraint type qualitative models describing the model of the system over a wide ...
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The presence of colored tokens and time opens the possibility to combine high level Petri nets for describing operating procedures and constraint type qualitative models describing the model of the system over a wide operating range. Places can be associated to state variables and the color of the tokens can be related to the qualitative value of the variable. Are expressions correspond to qualitative model equations. A suitably modified version of the order of magnitude qualitative value representation form is used together with a scaling of each variable to have the same uniform qualitative range. Operations are performed on the interval arithmetic basis and only the result is transformed back to the uniform order of magnitude quantity space. This computation method ensures advantageous algebraic properties. Based on the above idea a novel verification method is proposed in this paper for testing operating procedures against a qualitative model of the system using a high level or colored Petri net representation of the procedure and the model together.
A graph-theoretic method for integration of process and control system (IPCS) syntheses has been proposed in the present paper. The foundation of this integration is a well-established, graph-theoretic approach to pro...
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A graph-theoretic method for integration of process and control system (IPCS) syntheses has been proposed in the present paper. The foundation of this integration is a well-established, graph-theoretic approach to process synthesis in conjunction with the analysis of structural controllability based on digraph-type process models. A directed bipartite graph, the CP-graph, has been introduced for unambiguous representation of an IPCS structure. The notion of CP-graph has given rise to a set of axioms for describing the combinatorially feasible and controllable structures. The maximal controllable structure of an IPCS synthesis problem has been defined as the union of combinatorially feasible and controllable IPCS structures; obviously, the optimal IPCS structure must be a substructure of this maximal controllable structure. Thus, the mathematical programming model, e.g., MINLP model, of an IPCS synthesis problem should be derived from the maximal controllable structure. The fundamental combinatorial algorithm of IPCS synthesis, i.e., algorithm CMSG, for identifying this maximal controllable structure has been formulated. The complexity of this algorithm has been proved to be polynomial on the size of the problem; its efficacy is illustrated with a relatively simple example. The resultant IPCS structures are compared with the structures synthesized without considering their controlsystems.
A robust modeling method of Heat Exchanger Networks (HENs) with structured parametric perturbations has been described in this paper which results in a LFT form. The LFT of the overall HEN system can be generated algo...
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A robust modeling method of Heat Exchanger Networks (HENs) with structured parametric perturbations has been described in this paper which results in a LFT form. The LFT of the overall HEN system can be generated algorithmically from the model of the heat exchangers and from the network topology. Based on these modeling paradigms the effect of uncertainties represented by specific Δ block structures have been analysed by frequency domain n analysis in order to get an insight into the causes of potential large overshoot-type responses. The proposed method has been illustrated on the simple example of a countercurrent heat exchanger with by-pass.
作者:
Djukanovic, M.B.Sobajic, D.J.Pao, Y.‐H.Miodrag B. Djukanovic (1959) received his B.S.
M.Sc. and Ph.D. degrees in Electrical Engineering from the University of Belgrade/Yugoslavia in 1982 1985 and 1992 respectively specializing in electric power systems. In 1984 he joined the Electrical Engineering Institute “Nikola Tesla” in Belgrade where he was working on the scientific studies in the field of power systems planning operation and control. In 1985 and 1990 he was appointed as a research scholar at the Royal Institute of Technology Stockholm and Case Western Reserve University Cleveland Ohio. His major in- terests are in the area of power system analysis steady-state and dynamic security and application of neural networks in electric power systems. (Electrical Engineering Institute “Nicola Tesla” ul. Koste Glavinica 8A YU-11000 Belgrad T +3811/2351-619 Fax + 3811/2351-823) Dejan J. Sobajic (1949) received the B.S.E.E. and the M.S.E.E. degrees from the University of Belgrade/Yugoslavia in 1972 and 1976
respectively and the Ph.D. degree from Case Western Reserve University Cleveland Ohio in 1988. At present he is with the Department of Electrical Engineering and Applied Physics Case Western Reserve University Cleveland. He is also the Engineering Manager of A1 WARE Inc. Cleveland. His current research interests include power system operation and control neuralnet systems and adaptive control. He is a member of the IEEE Task Force on Neural-Network Applications in Power Systems and of the IEEE Intelligent Controls Committee. He is the Chairman of the International Neural-Networks Society Special Interest Group on Power Engineering. (Case Western Reserve University Department of Electrial Engineering and Computer Sciences Glennan Building Ohio 44 106 USA T + 1216/421-2380 Fax +1216/368-8776) Yoh-Han Pao (1922) has been a Professor of Electrical Engineering and Computer Science at Case Westem Reserve University (CWRU)
Cleveland Ohio since 1967. He has served as chairman of the University's Electrical Engineering Department
The Transient Energy Function (TEF) method has been intensely investigated over the last decade as a reliable and accurate tool for transient stability assessment of multimachine power systems. In this paper we propos...
Limit properties of the QSIM algorithm with respect to the spurious behaviours have been analysed in this short paper, in the case of approximating landmark sets and non-qualitative right-hand side functions. It has b...
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A few basic strong approximation results for fixed gain estimators are presented. Both off-line and on-line estimators are considered. The results are first presented for time-invariant systems. Once the appropriate t...
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A few basic strong approximation results for fixed gain estimators are presented. Both off-line and on-line estimators are considered. The results are first presented for time-invariant systems. Once the appropriate techniques and results are developed, the extension of the analysis to time-varying systems is quite easy.< >
The structural control properties of heat exchanger networks has been investigated from the viewpoint of network topology. While the structural stability is independent of topology, the structural controllability and ...
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The structural control properties of heat exchanger networks has been investigated from the viewpoint of network topology. While the structural stability is independent of topology, the structural controllability and observability strongly depend on topology features, like splitting and mixing connections. The dynamics of heat exchanger superstructure has been studied by numerical simulation and qualitative prediction: overshoot and inverse responses have been observed due to splitting and mixing connections
Petri net and Markov chain models are developed for manufacturing systems with blocking and deadlock. The authors compute the probability that the system in an absorbing (deadlocked) state, the mean time to deadlock, ...
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Petri net and Markov chain models are developed for manufacturing systems with blocking and deadlock. The authors compute the probability that the system in an absorbing (deadlocked) state, the mean time to deadlock, and the throughput before deadlock, etc., which can be used to compare the performance of various prevention and avoidance strategies. A systematic method for designing locks and interlocks for deadlock avoidance using the reachability graph of the Petri net model is presented.< >
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