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Novel artificial control of nonlinear uncertain system: design a novel modified PSO SISO Lyapunov based fuzzy sliding mode algorithm

July 14, 2017 | Autor: Amin Jalali | Categoría: Engineering, Robotics, Control Systems Engineering, Algorithms, Artificial Intelligence, Design, Fuzzy Logic, Nonlinear dynamics, FPGA, Matlab, Fuzzy Control, Nonlinear Control, Vhdl, Robotic, Sliding mode control, Nonlinear hybrid system, Optimization Algorithms (GA-PSO-GSA-ACO...), Dynamic Systems and Control, Sliding Mode Control of Ball and Beam System, Advanced, Xilinx FPGA, FPGA based system design using VHDL, Robotics Automation, Design, Fuzzy Logic, Nonlinear dynamics, FPGA, Matlab, Fuzzy Control, Nonlinear Control, Vhdl, Robotic, Sliding mode control, Nonlinear hybrid system, Optimization Algorithms (GA-PSO-GSA-ACO...), Dynamic Systems and Control, Sliding Mode Control of Ball and Beam System, Advanced, Xilinx FPGA, FPGA based system design using VHDL, Robotics Automation
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This research is focused on novel particle swarm optimization (PSO) SISO Lyapunov based fuzzy estimator sliding mode algorithms derived in the Lyapunov sense. The stability of the closed-loop system is proved mathematically based on the Lyapunov method. PSO SISO fuzzy compensate sliding mode method design a SISO fuzzy system to compensate for the dynamic model uncertainties of the nonlinear dynamic system and chattering also solved by nonlinear fuzzy saturation like method. Adjust the sliding ...
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