Xianlin Huang

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The Artificial Fish-swarm Algorithm (AFA) is an intelligent population-based optimization algorithm inspired by the behaviors of fish swarm. Unfortunately, it sometimes fails to maintain an appropriate balance between exploration and exploitation, and has a drawback of blind search. In this paper, a novel cultured AFA with the crossover operator, namely(More)
For the longitudinal dynamics of a highly manoeuvrable missile, an enhanced sliding mode controller (SMC) based on nonlinear disturbance observer (NDO) is proposed. This scheme allows a continuous control robust to external disturbance and uncertain aerodynamic coeeficients without the use of high control gain or extensive computational power. When the(More)
In this paper, a sufficient condition is derived to guarantee the globally asymptotic stability of the simplest Takagi-Sugeno (T-S) fuzzy control system based on the circle criterion. Two numerical examples are given to demonstrate how to use this condition in analyzing the T-S fuzzy control systems. Performance comparisons are also made between the(More)
⎯ In our paper, the properties of the simplest Takagi-Sugeno (T-S) fuzzy controller are first investigated. Next, based on the well-known Popov criterion with graphical interpretation, a sufficient condition in the frequency domain is proposed to guarantee the globally asymptotical stability of the simplest T-S fuzzy control system. Since this sufficient(More)
In this paper, the mathematical properties of the proportional TakagiSugeno (T-S) fuzzy controller are first investigated. Based on these properties, the L2stability of the fuzzy control systems, in which the proportional T-S fuzzy controller is utilized, is analyzed by using the well-known circle criterion. A sufficient condition with elegant graphical(More)
A novel hybrid optimization algorithm, PSOCCA, based on the fusion of the Particle Swarm Optimization (PSO) and Cultural Algorithm (CA), is proposed in this paper to enhance the convergence characteristics of the original PSO. In the PSOCCA, the particle swarm is considered to be a population component of the CA, and three knowledge sources are stored in(More)
A type of Takagi-Sugeno (T-S) Proportional-Integral (PI) fuzzy controllers is studied. The T-S PI fuzzy controller is formed by a T-S Proportional-Derivative (PD) fuzzy controller connected with an integrator. In this particular structure, the T-S PD fuzzy controller is a weighted sum of some linear PD sub-controllers. The mathematical properties of our T-S(More)
In our paper, the analytical structures and properties of the one and 2D fuzzy controllers are first investigated in details. The nature of these two kinds of fuzzy controllers is next probed from the viewpoint of control engineering. For the one dimensional fuzzy controller, it is concluded that this controller is a combination of a saturation element and(More)
A new culture-based Particle Swarm Optimization (PSO) with mutation, CPSOM, is proposed in this paper to improve the overall optimization performance of the original PSO and combat with the well-known premature problem. In the CPSOM, the Evolutionary Programming (EP) mutation operator is applied to a proportion of the particles in the population space based(More)
In this paper, on the basis of the off-axis circle criterion, a sufficient condition with a simple graphical explanation is derived to guarantee the global asymptotic stability for a type of multi-rule proportional Takagi-Sugeno (T-S) fuzzy control systems. Three numerical examples are given to demonstrate how to use the proposed method in analyzing the T-S(More)