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As an excellent implement used for controller development and HIL simulation, dSPACE has been applied to many fields. But it can not meet the demands of data processing and sampling in some complex or high-speed occasions. By making use of FPGA in this paper, the problems will be easily resolved. In accordance with the usual requirements, I/O expansion, PWM generator, A/D sampling preconditioning,...
In this paper, we propose a population-based implementation of simulated annealing to tackle multi-objective optimisation problems, in particular those of combinatorial nature. The proposed algorithm is called Evolutionary Multi-objective Simulated Annealing Algorithm (EMOSA), which combines local and evolutionary search by incorporating two distinctive features. The first feature is to tune the weight...
The quality of an approximation set usually includes two aspects-- approaching distance and spreading diversity. This paper introduces a new technique for assessing the diversity of an approximation to an exact Pareto-optimal front. This diversity is assessed by using an ldquoexposure degreerdquo of the exact Pareto-optimal front against the approximation set. This new technique has three advantages:...
The matching of sensor and weapon system is important for the whole combat system. Combat system would have the optimum efficacy only if the indexes of sensor and weapon system attained to the best matching status. A method of optimization matching of sensor and weapon system based on geometric programming was given. This method means to construct a GP model, the target function of which would be...
Consider a two-stage production system with a significant setup time at the upstream station. A threshold production control rule is used at the upstream station, with an objective of minimizing the work-in-process level while maintaining a required busy probability at the downstream station. To characterize the system performance under this rule, a Markov model is constructed and from which the analytical...
Fuzzy production rules are comparatively inefficient to depict vague and modified knowledge in an expert system. Fuzzy Petri nets are more accurate in describing the relative degree of each proposition when exists dynamic knowledge. However, the limited learning ability of fuzzy Petri net constrains its application in dynamic knowledge expert system. In this paper, an advanced self-adaptation learning...
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