Selected Proceedings of the IFIP WG7.2 on Modelling and Optimization of Distributed Parameter Systems with Applications to Engineering, June 1995 K. Malanowski, Z. Nahorski, M. Peszynska. Delfour, M.C. and Zolésio, J.P. (1994-1) Shape ...
This volume contains a selection of papers presented at the conference on Modelling and Optimization of Distributed Parameter Systems with Applications to Engineering, held in Warsaw on July 17-21, 1995.
Author: K. Malanowski
This volume contains a selection of papers presented at the conference on Modelling and Optimization of Distributed Parameter Systems with Applications to Engineering, held in Warsaw on July 17-21, 1995. This conference was a consecutive one in the series of conferences sponsored by the IFIP Working Group WG 7.2 "Computational Techniques in Distributed Systems", chaired by Irena Lasiecka. It was organized by the Systems Research Institute of the Polish Academy of Sciences and supported financially by the following institutions: -European Community on Computational Methods in Applied Sciences, -Fundacja Stefana Batorego, -International Mathematical Union, - Telekomunikacja Polska S.A. The following scientists took an active part in preparation of the scientific program of the conference, organizing or helping to organize special sessions: - E. Casas and I.Lasiecka (Optimization and Optimal ControQ, Z.Mr6z (Mechanical Applications), - M.Niezg6dka (Properties of Solutions to P.D.E.s), - L.Pandolfi (Hamilton and Riccati Equation Approaches to Optimization), - K.Sobczyk and J.Zabczyk (Stochastic Systems), - J.Sokolowski and J.-P.Zolesio (Shape Optimization), - J.Wa8niewski (Scientific Computation). In the conference participated 133 scientists from 22 countries. Ten invited plenary lectures and 103 contributed papers have been presented. This volume contains a part of the presented material. The core of it is constituted by papers devoted to control and optimization of distributed parameter systems. Other selection will be included in a special issue of the quarterly Control & Cybernetics to be published in 1996.
Pietil, S., Koivo, H.N.: Centralized and Decentralized Neural Network Models for Distributed Parameter Systems. In: Proc. of the Symposium ... IMACS Multi-conference on Computational Engineering in Systems Applications, pp. 1043–1048.
Author: Daniel Dochev
Publisher: Springer Science & Business Media
The 13th Conference on Arti?cial Intelligence: Methodology, Systems, App- cations (AIMSA 2008) was held in Varna, Bulgaria, on September 4–6, 2008. The AIMSA conference series has provideda biennial forum for the presentation of arti?cial intelligence research and development since 1984. The conference covered the full range of topics in arti?cial intelligence and related disciplines and provided an ideal forum for international scienti?c exchange between C- tral/Eastern Europe and the rest of the world. For AIMSA 2008,wedecided to placespecial emphasisonthe worksonth- ries, experimentations, applications, and case studies that demonstrate in pr- tice the added value and the impact ofAI science,methodologiesand techniques for the market,society,and culture. We believe that this vision of “[email protected]” truly re?ects the original intention of AIMSA, a conference dedicated to ar- ?cial intelligence in its entirety but with a special emphasis on “methodology, systems, and applications”, as explicitly stated in its name. According to this vision, we have also paid special attention to works that “cross the boundaries of AI”, i. e. , works that demonstrate the in?uence of AI on di?erent ?elds of research and di?erent scienti?c communities, such as software engineering, data bases, distributed systems, information systems, information retrieval, etc. Both of these aspects were covered by the papers that were submitted and by those that were accepted for publication. A total of 109 papers were submitted to the conference, and the program committee accepted 30 full papers and 10 posters.
J. CEA , Problems of Shape Optimal Design, in "Optimization of Distributed Parameter Structures", Vol. ... Shape Optimal Design of a Radiating Fin, in "System Modelling and Optimization", P.Thoft-Christensen, ed.,pp.
Author: M. Amouroux
Category: Technology & Engineering
This volume presents state-of-the-art reports on the theory, and current and future applications of control of distributed parameter systems. The papers cover the progress not only in traditional methodology and pure research in control theory, but also the rapid growth of its importance for different applications. This title will be of interest to researchers working in the areas of mathematics, automatic control, computer science and engineering.
Applications in Industrial Process Modeling and Control Jili Tao, Ridong Zhang, Yong Zhu ... Decoupled ARX and RBF neural network modeling using PCA and GA optimization for nonlinear distributed parameter systems.
Author: Jili Tao
Publisher: Springer Nature
This book focuses on the implementation, evaluation and application of DNA/RNA-based genetic algorithms in connection with neural network modeling, fuzzy control, the Q-learning algorithm and CNN deep learning classifier. It presents several DNA/RNA-based genetic algorithms and their modifications, which are tested using benchmarks, as well as detailed information on the implementation steps and program code. In addition to single-objective optimization, here genetic algorithms are also used to solve multi-objective optimization for neural network modeling, fuzzy control, model predictive control and PID control. In closing, new topics such as Q-learning and CNN are introduced. The book offers a valuable reference guide for researchers and designers in system modeling and control, and for senior undergraduate and graduate students at colleges and universities.
Neural Computing and Applications 1, 160–165 (1993) Deng, H., Li, H.X.: Hybrid Intelligence Based Modelling for Nonlinear Distributed Parameter Process with Applications to the Curing Process. IEEE Transactions on Systems, ...
Author: Vassil Sgurev
Category: Technology & Engineering
In the modern science and technology there are some research directions and ch- lenges which are at the forefront of world wide research activities because of their relevance. This relevance may be related to different aspects. First, from a point of view of researchers it can be implied by just an analytic or algorithmic difficulty in the solution of problems within an area. From a broader perspective, this re- vance can be related to how important problems and challenges in a particular area are to society, corporate or national competitiveness, etc. Needless to say that the latter, more global challenges are probably more decisive a driving force for s- ence seen from a global perspective. One of such “meta-challenges” in the present world is that of intelligent s- tems. For a long time it has been obvious that the complexity of our world and the speed of changes we face in virtually all processes that have impact on our life imply a need to automate many tasks and processes that have been so far limited to human beings because they require some sort of intelligence.
The papers offered in this volume were selected from among the 250 plenary, invited, and contributed works presented at the conference.
Author: Michael P. Polis
Publisher: CRC Press
Top researchers in optimization and control from around the world gathered in Detroit for the 18th annual IFIP TC7 Conference on Systems Modelling and Optimization held in July 1997. The papers offered in this volume were selected from among the 250 plenary, invited, and contributed works presented at the conference. The editors chose these papers to represent the myriad and diverse range of topics within the field -in theory and applications-and to disseminate important new results. The editors have organized the book into seven sections: Distributed Parameter Systems Modelling Optimal Control and Nonsmoooth Analysis Automotive Optimization and Operations Research Applications · Reliability Each section contains important advances in theoretical development of optimization and control, new results, and discussions of applications. Treatment of numerous and wide- ranging applications-from turbulent flows, European option pricing, and storage location, to wear processes, passive fire protection, and robotics-make this resource important for academic and industrial researchers working in a variety of areas in systems engineering and applied mathematics.