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In order to solve the strategy optimization of Laser weapon intercept multiple in flight targets problem, a reasonable model is constructed and an improved Genetic Algorithm(GA) is proposed. It introduces both global search strategy and local search strategy to ensure the searching breadth as well as the solution precision. It adds a local search process in the standard GA. When the best child of...
An adaptive fuzzy controller for controlling a multi-input-multi-output uncertain nonlinear system is proposed in this paper. The controller design is observer based since not all the system states are measurable. The fuzzy adaptive controller with modulated membership function (FAC_MMF) modulates the fuzzy sets on both the consequent and antecedent parts by adjusting a few parameters. As searching...
The double inverted pendulum system is a less-driven, multi-parameter, highly nonlinear system. The sliding mode controller is designed to make the double pendulum stable at the upright equilibrium position. But, it is difficult to determine the sliding surface in design, which is the key to the performance of the control system. The improved genetic strategy is applied to search the optimal sliding...
This paper presents optimal fuzzy control of a nano-positioning system by linear matrix inequality (LMI) and hierarchical genetic algorithms (HGAs). First, the Bouc-Wen model describes the nonlinear hysteresis curve of a piezoelectric actuator. Then, the Takagi-Sugeno (T-S) fuzzy model approximates the Bouc-Wen equation. The parallel distributed compensation (PDC) is designed to control the nonlinear...
This paper presents a stable variable structure control scheme for achieving uniformly ultimately bounded control of a class of nonlinear systems. To reach a better performance, a generalized two-input single-output fuzzy controller is incorporated into the scheme to help improve dynamic responses when the trajectories enter into an ultimate bound. For practical consideration, we added a GA-based...
This paper presents a Lyapunov-based genetic algorithm control (LGAC) system for a linear piezoelectric ceramic motor (LPCM) driven by a hybrid resonant inverter. Since the dynamic characteristics and motor parameters of the LPCM are highly nonlinear and time varying, an LGAC system via backstepping design technique is therefore investigated based on direction-based genetic algorithm to achieve high-precision...
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