Current Issue : January - March Volume : 2018 Issue Number : 1 Articles : 5 Articles
There has been increasing interest in improving the mobility of ground vehicles. The interest is greater in predicting the mobility\nfor military vehicles. In this paper, authors review various definitions of mobility. Based on this review, a new definition of mobility\ncalled fuzzy mobility is given. An algorithm for fuzzy mobility assessment is described with the help of fuzzy rules. The simulation\nis carried out and its implementation, testing, and validation strategies are discussed....
In order to perform better in target control, this paper proposed a decisionmaking\nsystem method based on fuzzy automata. The decision-making system\nfirst preprocessed the signal and then performed a two-level decision on\nthe target to achieve optimal control. The system consisted of four parts: signal\npreprocessing, contrast decision-making, comprehensive judgment of decision-\nmaking and decision-making result. These decision algorithms in target\ncontrol were given. A concrete application of this decision-making system\nin target control was described. Being compared with other existing methods,\nthis paper used both global features and local features of target, and used the\ndecision-making system of fuzzy automata for the target control. Simulation\nresults showed that the control effect based on the decision-making system\nwas better than that of the other existing methods. Not only it was faster, but\nalso its correct control rate was higher to be 95.18% for the target control.\nThis research on the control system not only developed the FA theory, but also\nstrengthened its application scope in the field of control engineering....
This paper presents a fuzzy logic controller by which a robot can imitate biological behaviors such as avoiding obstacles or following\nwalls. The proposed structure is implemented by integrating multiple ultrasonic sensors into a robot to collect data from a realworld\nenvironment. The decisions that govern the robot�s behavior and autopilot navigation are driven by a field programmable\ngate array- (FPGA-) based fuzzy logic controller.The validity of the proposed controller was demonstrated by simulating three realworld\nscenarios to test the bionic behavior of a custom-built robot. The results revealed satisfactorily intelligent performance of the\nproposed fuzzy logic controller. The controller enabled the robot to demonstrate intelligent behaviors in complex environments.\nFurthermore, the robot�s bionic functions satisfied its design objectives....
Battery groups are widely used in production and life. Optimal charging can\nnot only shorten the charge time, but also improve the performance and life of\nthe battery pack. A constant current or constant voltage charging method is\ncommonly used. This type of method cannot adjust the charge capacity in\ntime according to the change of charging capacity of storage battery, and the\ncharge performance is not high. This paper designs a fuzzy PID controller. In\nthe case of variable load and interference, the battery group can still be\ncharged by the optimal charging current. Through the simulation results, the\nfuzzy PID controller works well and verifies the feasibility of the charging\ncontroller....
The synchronization of two fractional-order complex chaotic systems is discussed in this paper. The parameter uncertainty and\nexternal disturbance are included in the system model, and the synchronization of the considered chaotic systems is implemented\nbased on the finite-time concept. First, a novel fractional-order nonsingular terminal sliding surface which is suitable for the\nconsidered fractional-order systems is proposed. It is proven that once the state trajectories of the system reach the proposed\nsliding surface they will converge to the origin within a given finite time. Second, in terms of the established nonsingular terminal\nsliding surface, combining the fuzzy control and the slidingmode control schemes, a novel robust single fuzzy slidingmode control\nlaw is introduced, which can force the closed-loop dynamic error system trajectories to reach the sliding surface over a finite time.\nFinally, using the fractional Lyapunov stability theorem, the stability of the proposed method is proven.The proposed method is\nimplemented for synchronization of two fractional-order Genesio-Tesi chaotic systems with uncertain parameters and external\ndisturbances to verify the effectiveness of the proposed fractional-order nonsingular terminal fuzzy sliding mode controller....
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