A model conservative learning method is proposed in this paper which is able to transfer knowledge between different qualitative differential equation models of the same szstem. This is an essentialstep of generating ...
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A model conservative learning method is proposed in this paper which is able to transfer knowledge between different qualitative differential equation models of the same szstem. This is an essentialstep of generating operating procedures when multiple models with overlapping validity regions must be used to describe the controlled szstem over a wide operating range. The method is based on our previous results on introducing learning into Extended Qualitative Simulation by Bayesian identification and output prediction.
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.
In the paper a simulation environment for evaluation of knowledge based fault diagnostic systems is presented. The contribution deals with the concept of the environment that provides an integration of qualitative and...
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In the paper a simulation environment for evaluation of knowledge based fault diagnostic systems is presented. The contribution deals with the concept of the environment that provides an integration of qualitative and quantitative models. This concept is presented on a simulated water-column process controlled by feedback. The simulation environment is used to evaluate the potentials of Multilevel Flow Modelling (MFM) approach to system diagnosis. The environment is realized within the real-time expert system tool G2.
The objective of this paper is to present the current activities, jointly carried out by DIST and LAN, in the development of a computational architecture for the control of advanced robot systems. In particular, the a...
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The objective of this paper is to present the current activities, jointly carried out by DIST and LAN, in the development of a computational architecture for the control of advanced robot systems. In particular, the activity is focused on marine and underwater applications. The problem of the control of advanced robot systems is discussed. A Lyapunov based approach to the synthesis of the control laws in task space domain is presented. Moreover, experimental setups implementing the proposed control scheme are briefly described.< >
A least squares identification method is studied that estimates a finite number of expansion coefficients in the series expansion of a transfer function, where the expansion is in terms of generalized basis functions....
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A least squares identification method is studied that estimates a finite number of expansion coefficients in the series expansion of a transfer function, where the expansion is in terms of generalized basis functions. The basis functions are orthogonal in H/sub 2/ and generalize the pulse, Laguerre and Kautz (1954) bases. The construction of the basis is considered and bias and variance expressions of the identification algorithm are discussed. The basis induces a new transformation (Hambo transform) of signals and systems, for which state space expressions are derived.< >
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 control systems.
A least squares identification method is studied that estimates a finite number of expansion coefficients in the series expansion of a transfer function, where the expansion is in terms of recently introduced generali...
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A least squares identification method is studied that estimates a finite number of expansion coefficients in the series expansion of a transfer function, where the expansion is in terms of recently introduced generalized basis functions. The basis functions are orthogonal in H 2 and generalize the pulse, Laguerre and Kautz bases. One of their important properties is that when chosen properly they can substantially increase the speed of convergence of the series expansion. This leads to accurate approximate models with only few coefficients to be estimated. Explicit bounds are derived for the bias and variance errors that occur in the parameter estimates as well as in the resulting transfer function estimates.
This paper presents the most important issues of a real-time software package developed for the industrial multiloop controller MMC-90. MMC-90 is a biprocessor system based on the concept of a two-level controller. On...
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This paper presents the most important issues of a real-time software package developed for the industrial multiloop controller MMC-90. MMC-90 is a biprocessor system based on the concept of a two-level controller. On the lower level of complexity, the base control processor performs the basic control functions. On the higher level of complexity, the flexible control coprocessor executes complex functions on request from the control tasks on the base control processor. All the software on the control coprocessor is written in Modula-2. The corresponding multitasking environment was designed as a set of Modula-2 libraries at various horizontal and vertical decomposition levels. On the control coprocessor a preemptive, priority based scheduler as well as a high level interprocess communication and synchronization mechanism has been developed. Communication between the processors is realized by means of a fast bi-directional communication channel, which is implemented via dual-port RAM. The developed system opens the door to applications of modem control algorithms in industrial practice.
作者:
Eric M. RossThe Vice‐President of ProActive Resources
Inc. a Rhode Island‐based industrial improvement consulting and training firm. He also serves as the Chair Commercial Application Task Group of the all‐volunteer US CALS/CE Industry Steering Group. Previously he was Director CALS at Intergraph Corporation a worldwide supplier of interactive computer graphic CAD/CAE/CAM systems and Program Director Strategic Enterprise Modernization at BDM International Inc. Mr Ross also served in various technical management and leadership positions in United States Air Force internal and contractor industrial base improvement programmes. He is a member of the American Society for Quality Control the American Production and Inventory Control Society the Automation Forum and the Computer and Automated Systems Association of the Society of Manufacturing Engineers. He holds a BS and an MS degree from Rensselaer Polytechnic Institute and the State University of New York College of Ceramics respectively. He can be contacted at ProActive Resources Inc. Tel/Fax: 401 421 4072 or 10733 Basket Oak Ct. Burke VA 22015 USA.
Success in the twenty‐first century will require many manufacturingenterprises to have the innovative flexibility to respond rapidly tomarket desires, to produce top quality products, to deliver almostinstantaneously...
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Success in the twenty‐first century will require many manufacturingenterprises to have the innovative flexibility to respond rapidly tomarket desires, to produce top quality products, to deliver almostinstantaneously, and to provide superb service. Built on leanmanufacturing, the agile manufacturing paradigm is an evolutionary step,partially based on a combination of flexible manufacturing, integratedproduct development and stratgic partnering. An agile manufactuingenterprice is a dynamically reconfigurable organization of independentcompanies which forms individual companies optimized for the specificsof each market opportunity. Key to the success of such a paradigm is theability (for often geographically dispersed functions) to share fullythe technical information required and used for product design,development, validation, production and service. Argues that CALS, astandardized approach to integrated product data management, has thestrategies, approaches, technologies and neutral data formats as well asthe growing international commitment to enable this data sharing.
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.
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