The object-oriented design methodology has been manipulated to model the standard CMOS fabrication technology. Detecting and characterizing the objects and classes within the basic object-oriented features of encapsul...
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The object-oriented design methodology has been manipulated to model the standard CMOS fabrication technology. Detecting and characterizing the objects and classes within the basic object-oriented features of encapsulation, inheritance and polymorphism, as well as discussing the model framework and model characterization has been the main pursuits of this works. This modeling approach puts forth the chance of a fully automated fabrication system, with well-characterized hardware and reusable software. This model is also a promising candidate for enhancing the system performance to the minimum level required for fully integrated agent-oriented entities, which can reconfigure themselves for future technology generations.
Using dimensional analysis and numerical optimisation techniques, an optimal method for tuning PID controllers for first order plus time delay systems is presented. Considering integral square error (ISE), integral ab...
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Using dimensional analysis and numerical optimisation techniques, an optimal method for tuning PID controllers for first order plus time delay systems is presented. Considering integral square error (ISE), integral absolute error (IAE) and integral time absolute error (ITAE) performance criteria, optimal equations for obtaining PID parameters are proposed. Simulation results show that the proposed method has a considerable superiority over conventional techniques. In addition, the closed loop system shows a robust performance in the face of model parameters uncertainty.
New developments in computer networks and communications provide new possibilities for control purposes. controlsystems for highly complex plants are themselves very complex and heterogeneous. A new software infrastr...
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New developments in computer networks and communications provide new possibilities for control purposes. controlsystems for highly complex plants are themselves very complex and heterogeneous. A new software infrastructure is needed that exploits these new emerging software technologies. An essential activity to be pursued is that of education and of including new technology in control education. The aim of this paper is to describe some of our activities and experiences in teaching of information techniques and technologies included in open control platforms of complex controlsystems.
In this paper a new robust steepest-descent algorithm for discrete-time iterative learning control is introduced for plant models with multiplicative uncertainty. A theoretical analysis of the algorithm shows that if ...
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In this paper a new robust steepest-descent algorithm for discrete-time iterative learning control is introduced for plant models with multiplicative uncertainty. A theoretical analysis of the algorithm shows that if a tuning parameter in the algorithm is selected to be sufficiently large, the algorithm will result in monotonic convergence if the plant uncertainty satisfies a positivity condition. This is a major improvement when compared to the standard steepest-descent algorithm, which lacks a mechanism for finding a balance between convergence speed and robustness. Experimental work on a gantry robot is performed to demonstrate that the algorithm results in near perfect tracking in the limit.
In this paper, we explore the possibility of applying Monte Carlo methods (i.e., randomization) to semi-infinite programming problems. Equivalent stochastic optimization problems are derived for a general class of sem...
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In this paper, we explore the possibility of applying Monte Carlo methods (i.e., randomization) to semi-infinite programming problems. Equivalent stochastic optimization problems are derived for a general class of semi-infinite programming problems. For the equivalent stochastic optimization problems, algorithms based on stochastic approximation and Monte Carlo sampling methods are proposed. The asymptotic behavior of the proposed algorithms is analyzed and sufficient conditions for their almost sure convergence are obtained.
A panel discussion with the title Whitherto Robust control was held during the IEEE Conference on Decision and control in Honolulu, HI, in December 1990. Organizers and Chairs were B.R. Barmish and P.P. Khargonekar, w...
A panel discussion with the title Whitherto Robust control was held during the IEEE Conference on Decision and control in Honolulu, HI, in December 1990. Organizers and Chairs were B.R. Barmish and P.P. Khargonekar, while the panelists were D.S. Bernstein, S.P. Bhattacharyya, S.P. Boyd, J.C. Doyle, I.M. Horowitz and R.E. Skelton. Today, the goals of researchers working on robust control are probably quite different than thirteen years ago. This seems true both in the progress of novel theoretic paradigms as well as in the developments of new tools required by emerging applications. This panel discussion addresses classical issues and outlines future directions within robust control. We hope that it will contribute to its growth in the years to come. The panelists’ viewpoint are presented in the next pages.
In this paper, we propose a deterministic approach to the robust filtering problem for a class of uncertain nonlinear systems. Based on polynomial Lyapunov functions and a relaxation technique, we derive linear matrix...
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ISBN:
(纸本)0972184449
In this paper, we propose a deterministic approach to the robust filtering problem for a class of uncertain nonlinear systems. Based on polynomial Lyapunov functions and a relaxation technique, we derive linear matrix inequalities conditions that minimize an upper-bound on the finite horizon 2-norm of the estimation error for all admissible uncertainty and input signals (including disturbances and measurement noise). Through a simple redefinition of the Lyapunov matrix, we extended the results for the reduced-order case without considering non-convex rank constraints.
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