This paper deals with the control of variable-delay processes, where the delay depends on the value of the manipulated variable, which results in a non-linear system difficult to control. As a reference process, the c...
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A Printed Circuit Board (PCB) testing method using infrared thermal signatures is presented. The concept of thermal signature for PCBs is introduced. Based on this concept, the testing method is able to classify the i...
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In this paper, a HGA fuzzy supervisory PI controller using hierarchical genetic algorithms is developed and implemented for controlling the top and bottom product quality of a nonlinear, multi-input multi-output binar...
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ISBN:
(纸本)0780393538
In this paper, a HGA fuzzy supervisory PI controller using hierarchical genetic algorithms is developed and implemented for controlling the top and bottom product quality of a nonlinear, multi-input multi-output binary distillation column when the disturbances enter the column in the form of the changes in feed flow rate. Two conventional PI controllers, one for the bottom product composition and another for the top product composition, are used together in a decentralized control scheme to per form dual composition control. Hierarchical genetic algorithms are used to derive the optimal number and shape of membership functions and fuzzy rules of a fuzzy supervisory system that adapts the parameters of the PI controllers. The real-time implementation results show the effectiveness of the proposed method.
Common engineering approaches and modeling approaches from software engineering are brought together. For the domain of process automation an implementation oriented approach for an object oriented software developmen...
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Common engineering approaches and modeling approaches from software engineering are brought together. For the domain of process automation an implementation oriented approach for an object oriented software development for heterogeneous distributed systems is introduced. Model elements for control are added to UML as well as small-scale patterns for plant automation. Besides large-scale patterns are introduced as well as implementational models. The adoption of UML regarding applied diagrams and stereotypes for process automation will be introduced and evaluated.
The control of dynamical systems with inherent non-linear characteristics has motivated research in non-linear control theory. Two main approaches to dealing with uncertainties in control systems design are adaptive a...
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The control of dynamical systems with inherent non-linear characteristics has motivated research in non-linear control theory. Two main approaches to dealing with uncertainties in control systems design are adaptive and robust control. In this paper, discrete direct adaptive control of unknown non-linear SISO systems is considered. The controller is implemented using a fuzzy neural network. The control concept is tested on a laboratory pilot plant and compared to a standard discrete PID Takahashi controller
The paper examines the conditions for isolating the unknown input detection from the effects of the measurements noise in the important family of positional control problems. The study is motivated by the need of impr...
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This work is devoted to computation of large n-D polynomial determinants with a special structure. Applications involve n-D systems theory (e.g. coprimeness test for two n-D polynomials or the theory of algebraic equa...
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A detailed DSPN (Deterministic and Stochastic Petri Net) model and performance analysis of FF MAC sub-layer is constructed in this paper. Firstly, the centralized medium access protocol of FF MAC mechanism is introduc...
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A detailed DSPN (Deterministic and Stochastic Petri Net) model and performance analysis of FF MAC sub-layer is constructed in this paper. Firstly, the centralized medium access protocol of FF MAC mechanism is introduced. Secondly, the accurate DSPN models of FF MAC based on the same size periodic window and the different size periodic window are constructed according to the characteristic of periodic window in each microcycle respectively. Thirdly, performance analysis is presented in following performance aspects: the maximum throughout and the maximum network utilization. Finally, the simulation research based on the DSPN model is developed, which shows the relation throughout, mean aperiodic message delay and utilization with traffic load of aperiodic messages.
The new reconfigurable manufacturing paradigm requires development of systematic methods, and software tools, for the rapid design and builds up of production systems that change the capacity and functionality in resp...
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The new reconfigurable manufacturing paradigm requires development of systematic methods, and software tools, for the rapid design and builds up of production systems that change the capacity and functionality in response to the market demand. The effectiveness of reconfiguration depends upon the development of such tools. In this work, the new concept consisting of ontology knowledge based systems in connection with software agents are applied for the solution of the reconfiguration problem. Reconfigurability is achieved by the employment of the most modern technologies such as ontology driven solution
Computer algebra software tools in general, and the MATHEMATICA system in particular, are increasingly employed during the controls and systems graduate and undergraduate courses at FEE CTU in Prague. MATHEMATICA bene...
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