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44th IEEE Conference on Decision control/European control Conference (CCD-ECC)

作者： Engel, Sebastian Stursberg, Olaf Univ Dortmund Process Control Lab BCI AST D-44221 Dortmund Germany

ISBN: (纸本)0780395670

This tutorial paper provides an overview of where techniques based on hybrid dynamic models are suitable or promising for designing controllers of industrial plants, in particular chemical processing systems. After summarizing the typical control tasks prevalent in the hierarchical automation structure of industrial plants, the paper focusses on two techniques employing hybrid models that recently have gained much attention by the research community: the algorithmic verification of safety-related discrete controls, and the optimal control of large transitions, like startup, shutdown, or product switch-over.

关键词： automation hybrid dynamics optimal control safety supervisory control verification

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Number estimation of controllers for pinning a complex dynamical network

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Journal of Zhejiang University-Science C(Computers and Electronics) 2011年第6期12卷 470-477页

作者： Lei WANG Huan SHI You-xian SUN School of Mathematics and Systems Science and LMIB Beihang University Beijing 100191 China State Key Lab of Industrial Control Technology Institute of Industrial Process Control Zhejiang University Hangzhou 310027 China

Number estimation of controllers is a fundamental question in pinning synchronization of complex networks. This paper studies the problem of controller number in synchronizing a complex network of coupled dynamical systems by means of pinning. For a complex network with a symmetric coupling matrix and full coupling between the nodes, we formulate network synchronization via pinning as a linear matrix inequality criterion, and provide a lower bound and an upper bound of the controller number for a given complex network with fixed architecture. Several numerical examples with Barabási-Albert network topologies are provided to verify our theoretical results.

关键词： Pinning control Number estimation Synchronization Complex networks

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Far vs. Near: A Decision Framework for Cloud and Edge Use in the process Industry 22

Far vs. Near: A Decision Framework for Cloud and Edge Use in...

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22nd IEEE International Conference on Industrial Informatics, INDIN 2024

作者： Vogt, Lucas Charania, Zohra Urbas, Leon Process-to-Order Lab TU Dresden Dresden Germany Process Control Systems TU Dresden Dresden Germany

ISBN: (纸本)9798331527471

The technology readiness levels of cloud infrastructure and edge devices have increased significantly in recent years. This means that companies now have a growing number of computing environments at their disposal that could be suitable for the computing and control tasks involved in their production processes. Consequently, the need arises to select the best computing environment based on objective criteria and metrics. In order to create the basis for such a decision-making process, first an overview of the definitions and a comparison between edge and cloud environments is provided. Then a decision-making framework is derived that aims to facilitate this selection process. This is accomplished by providing a set of criteria that can be detailed to analyze a given use case. This analysis is then represented in a custom radar chart, which offers decision-makers a compact but meaningful representation of the decision space. Finally, the limits and future potentials of such a decision-making framework are discussed. © 2024 IEEE.

关键词： Cloud platforms

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Knowledge-based approach to the satisfactory solution in optimization and its applications

Knowledge-based approach to the satisfactory solution in opt...

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Proceedings of the 1988 IEEE International Conference on Systems, Man, and Cybernetics

作者： Wang, Shao-Bo Lu, Yong-Zai Zhejiang Univ Lab for Ind Process Modelling & Control Hangzhou China

ISBN: (纸本)7800030393

The authors present a knowledge-based approach to the satisfactory solution in optimization problems. Both operations-research algorithms and knowledge-engineering technology are used and supplemented with each other in this approach. To develop this approach, an essential theorem, i.e., a dividing optimization principle, and a concept, i.e., a turning region, have been proposed. The major steps of the knowledge-based approach to the satisfactory solution for linearly constrained optimization problems are as follows: give an initial dividing hyperplane and move it in one direction step by step to find the turning region, which then should be compressed till the criterion of the satisfactory solution is satisfied. Finally, a numerical example in industrial systems illustrates that the proposed approach can effectively provide the satisfactory solution with less computer time.

关键词： Optimization

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Development of a heuristic path propagating algorithm and its application

Development of a heuristic path propagating algorithm and it...

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Proceedings of the 1988 International Conference on Systems, Man, and Cybernetics

作者： Yang, Yong-yao Lu, Yong-zai Zhejiang Univ Lab for Ind Process Modelling & Control Hangzhou China

ISBN: (纸本)7800030393

The authors present a novel heuristic optimization technique called the heuristic path propagating algorithm, in which the search procedure is based on the path extending mode determined by the path evaluation function and the constraint deviation vector. The procedures carried out by algorithm include discretization of the parameter space, partitioning of the control functions, computation of the path evaluation function and the constraint deviation vector, and construction of the heuristic rule base. The advantages of the algorithm are its high searching efficiency and its reduced computation and memory requirement. The algorithm does not require the calculation of the heuristic function for every node in the problem solution space. The use of the algorithm to solve the temperature-set-point optimization problem of continuous reheating furnaces is shown in detail. It has been successfully applied to a real-time computer control system for a production-scale reheating furnace.

关键词： Mathematical Programming

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Bringing Human Cognition to Machines: Introducing Cognitive Edge Devices for the process Industry 22

Bringing Human Cognition to Machines: Introducing Cognitive ...

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22nd IEEE International Conference on Industrial Informatics, INDIN 2024

作者： Charania, Zohra Vogt, Lucas Klose, Anselm Urbas, Leon Process Control Systems TU Dresden Dresden Germany Process-to-Order Lab TU Dresden Dresden Germany

ISBN: (纸本)9798331527471

In the era of Industry 4.0 (I4.0), Cyber Physical Production Systems (CPPS) and upcoming industrial transformations, there's a great impulse for smarter, more connected, and adaptable industries. To support this shift, our industrial devices need to be upgraded. They should not only do their usual tasks reliably but also support new technologies like Artificial Intelligence (AI), Machine Learning (ML), Digital Twins (DT), etc. seamlessly. This is where cognition in devices becomes significant. This paper showcases an innovative cognitive system design for edge devices for control, drawing inspiration from the well-established concept of cognitive control. This approach highlights the symphonious existence of conscious (controlled) and unconscious (automatic) processing. The system architecture demonstrates the concurrent processing of real-time tasks, like control loops, field devices, etc., and non-real-time tasks such as AI, ML, Neural Network (NN) models, DT models, etc. within the edge device. This corresponds to the unconscious and conscious cognitive functions in human beings. This paper outlines the characteristics of such cognitive devices. The potential technologies that can help in achieving these characteristics like virtualization, multi-core edge devices, concurrency, etc. have also been explored. Additionally, a proof-of-concept demonstration use case has been presented that exhibits the implementation of the Open Cognitive control Systems (OCCS) architecture in edge devices. This work sets a stepping stone towards making industrial devices smarter. © 2024 IEEE.

关键词： artificial intelligence cognition containerization edge device process industry real-time systems

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Fast pattern match algorithm for real-time expert systems

Fast pattern match algorithm for real-time expert systems

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Proceedings of the 1988 International Conference on Systems, Man, and Cybernetics

作者： Qian, Da-qun Lu, Yong-zai Zhejiang Univ Lab for Ind Process Modelling & Control Hangzhou China

ISBN: (纸本)7800030393

The authors propose a fast predicate pattern matching algorithm based on a modified constraint satisfaction algorithm and Rete match algorithm. An illustrative example shows that the proposed algorithm could effectively improve the real-time performance of expert systems. It can also be used for the purpose of AI (artificial intelligence) programming.

关键词： Computer Programming

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A Prototype for Navigation in Signed Directed Graphs of Chemical processes 28

A Prototype for Navigation in Signed Directed Graphs of Chem...

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28th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2023

作者： Hamedi, Nazanin Richter, Julia Schrank, Bernhard Lischinski, Eric Chen, Jiaxin Sun, Xiaoyu Klose, Anselm Urbas, Leon TU Dresden DFG RTG Conducive Design of Cyber Physical Systems Dresden Germany TU Dresden Process Control Systems Dresden Germany TU Dresden Process Control Systems Process-to-Order Lab Dresden Germany TU Dresden Process Control Systems & Process Systems Engineering Dresden Germany

ISBN: (纸本)9798350339918

Signed Directed Graphs (SDGs) are among the very beneficial, and well-known tools for fault diagnosis in chemical process plants. Based on the size of the process plant, their corresponding SDGs can be very large in size;and therefore, significantly difficult to navigate. Besides that, the recent advancement in semantic description of process structures and intelligent process and Instrumentation Diagrams (P&IDs), has led to the development of several computer tools for navigating in a process plant structure and examining the connectivity of different process equipment to each other. In this study a prototype for an intelligent P&ID, in which the SDG is considered to help the user understand the influence of process parameters on each other is developed. Requirements were derived and implemented as a click prototype, using Axure RP. The evaluation results indicate that despite the high understandability of the prototype, the cognitive efforts for linking the information derived from the SDG with the plant's P&ID scheme are still too high for achieving a good overall usability. © 2023 IEEE.

关键词： Directed graphs

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A NOVEL MODEL-REDUCTION METHOD AND ITS APPLICATION TO A PILOT DISTILLATION COLUMN

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COMPUTERS IN INDUSTRY 1986年第4期7卷 343-350页

作者： CHU, JA YU, CB WANG, JC ZHEJIANG UNIV IND PROCESS MODELLING & CONTROL LABHANGZHOUPEOPLES R CHINA ZHEJIANG UNIV DEPT CHEM ENGNHANGZHOUPEOPLES R CHINA

Presented is a novel time-domain optimal model reduction method that could lead to each state variable of the reduced model approaching to the corresponding one of the original model in the sense of minimizing the quadratic error. A 15th-order ingot-pit system model is reduced effectively to a 4th-order one by using the method proposed. The method has been applied to establishing a state space model with low order from experimental data of a pilot binary distillation column. In addition, the microcomputer-based optimal state feedback control is implemented successfully. Advantages of the model reduction method proposed include: 1. better agreement between the original model and the reduced one, 2. clearer physical meaning, and 3. more convenience for applications. Simulation results also show that the method can be applied to reducing a high-order continuous time model into a low-order discrete-time model directly.

关键词： Model reduction Least squares State space model Identification Modelling Optimal control State feedback control Computer control Distillation column

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Optimization based on a team of automata with binary outputs

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AUTOMATICA 2004年第8期40卷 1349-1359页

作者： Najim, K Poznyak, AS Ikonen, E Univ Oulu Dept Process & Environm Engn Syst Engn Lab FIN-90014 Oulu Finland ENSIACET Proc Control Lab F-31077 Toulouse 4 France CINVESTAV INP Dept Automat Control Mexico City 07300 DF Mexico

This paper presents an algorithm for optimization of a multimodal scalar-argument function based on a team of learning stochastic automata with binary actions (outputs) 0 or 1. The action of the team of automata consists of a digital number which represents the environment input. The probability distribution associated with each automaton is adjusted using a modified version of the Bush-Mosteller reinforcement scheme with a continuous environment response and a time-varying correction factor. The asymptotic properties of this optimization algorithm are presented. An example illustrates the feasibility of this optimization algorithm. (C) 2004 Elsevier Ltd. All rights reserved.

关键词： asymptotic properties discretization genetic algorithms learning algorithms random searches

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