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interaction-balance-principle
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Stochastic control of two-level nonlinear large-scale systems; Part II-Interaction balance principle
, Article 2006 IEEE International Conference on Systems, Man and Cybernetics, Taipei, 8 October 2006 through 11 October 2006 ; Volume 5 , 2006 , Pages 3856-3861 ; 1062922X (ISSN); 1424401003 (ISBN); 9781424401000 (ISBN) ; Dehghan Marvast, E ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2006
Abstract
In this paper a new two-level method for stochastic control of large-scale systems is presented. This two-level approach is based on Interaction Balance Principle (Goal coordination) for optimization problem and a two-level computational algorithm using extended Kalman filter for the estimation one. The two-level optimizer uses a new coordinator which works by the gradient of interaction errors that improves the convergence rate of the solution. The significance and the applicability of the theoretical developments of this paper are also shown by a numerical example. © 2006 IEEE
A novel approach to coordination of large-scale systems; Part I - Interaction prediction principle
, Article 2005 IEEE International Conference on Industrial Technology, ICIT 2005, Hong Kong, 14 December 2005 through 17 December 2005 ; Volume 2005 , 2005 , Pages 641-647 ; 0780394844 (ISBN); 9780780394841 (ISBN) ; Sharif University of Technology
2005
Abstract
Coordination strategies in large-scale systems are mainly based on two principles; Interaction Prediction Principle and Interaction Balance Principle. In this paper, which consists of two parts, the concept of coordination is introduced within the framework of two-level large-scale systems, and two new approaches for coordination based on Interaction Prediction Principle and Interaction Balance Principle have been presented. The new strategies have much faster convergence rate than the previously suggested classical methods. They extremely reduce the number of iterations required for obtaining the overall optimal solutions. The efficacy and advantage of the proposed approaches, in compare to...
Fuzzy goal coordination of large-scale systems using tamura's method
, Article 2006 IEEE International Conference on Fuzzy Systems, Vancouver, BC, 16 July 2006 through 21 July 2006 ; 2006 , Pages 1355-1361 ; 10987584 (ISSN); 0780394887 (ISBN); 9780780394889 (ISBN) ; Balaei, A. T ; Sharif University of Technology
2006
Abstract
In this paper, the concept of coordination is introduced within the framework of two-level large-scale systems and a new fuzzy approach based on Interaction Balance Principle, in conjunction with Tamura's optimization method, is used for coordination of overall system. For this purpose, the overall optimization problem is first decomposed into m sub-problems, where each is optimized using Tamura's method, in which the functional optimization of the first level sub-systems are changed into parametric optimizations. Then, in the second level, the coordination of the overall large-scale system is done using Interaction Balance Principle which modifies the objective functions using a fuzzy...
Nonlinear optimal control of large-scale systems; Part II - Interaction balance principle
, Article ICIECA 2005: International Conference on Industrial Electronics and Control Applications 2005, Quito, 29 November 2005 through 2 December 2005 ; Volume 2005 , 2005 ; 0780394194 (ISBN); 9780780394193 (ISBN) ; Marvast, E. D ; Sharif University of Technology
IEEE Computer Society
2005
Abstract
In this part, similar to Part I of this paper, a new two-level method for nonlinear optimal control of large scale systems is introduced. This approach is based on Interaction Balance Principle for coordination of large-scale systems. In the first level, the optimization problems are solved for nonlinear dynamics using a gradient method, and in the second level, the coordination is done using the gradient of errors to improve the convergence rate in compare to the classical Goal Coordination method and obtain the overall optimal solution. The efficacy and advantages of the new approach is shown in an application example. © 2005 IEEE
A Novel Approach to Mixed Model and Goal Coordination of Large-Scale Systems
, Ph.D. Dissertation Sharif University of Technology ; Sadati, Naser (Supervisor)
Abstract
In this thesis, a new approach is proposed for two-level optimal control of large-scale nonlinear systems. In this approach, by defining some parameters as coordination parameters the overall system is decomposed into several interactive subsystems, where the optimization problem redefines for each one of them. The obtained sub-problems which are in the form of standard optimal control problems with lower dimension are solved in the first level. To obtain the overall optimal solution, coordination of the first level solutions is performed in the second level. For solving the first level problems, the indirect gradient and Newton methods are used. The gradient method is applied in the first...