New Active Control Method Based on Using Multiactuators and Sensors Considering Uncertainty of Parameters

Table 1

Common Active Control algorithms.

Active control method	Main concept
Linear optimal control	Minimize the performance index (Yang 1975 [18])
Pole assignment technique	Minimize the performance index (Abdel-Rohman and Leipholz 1978 [19])
Independent modal space control	Minimize the modal control force (Meirovitch and Oz 1980 [20])
Instantaneous optimal control	Control by minimizing the energy function at each instant of time (Yang et al. 1987 [21])
Bounded state control	Keeping the range of responses allowed (Reinhorn et al. 1987 [22])
Nonlinear control	Minimizing higher-order function (Wu et al. 1995 [23])
Generalized feedback	Control force will be a function of a displacement, velocity, and acceleration (Yang et al. 1991 [24])
Sliding mode control (SMC)	Creating the sliding surface (Yang et al. 1994 [25])
Time delay compensation	Enter the time delay between the response and performance of control (Abdel-Rohman 1985 [26])
Database and rule base	Active control using neural network and fuzzy logic (Tani et al. 1998 [27])
Genetic algorithm	Active control using genetic algorithm (Akutagawa et al. 2004 [1])