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In this paper, two active control schemes are presented to improve simultaneously vehicle ride comfort and steady-state handling performance. First, adaptive H∞ controller is designed for nonlinear vehicle suspension systems with actuator time delay based on Genetic Algorithm Wavelet Support Vector Machines and then adaptive H∞ controller is designed based on Genetic Algorithm Mixed Wavelet and RBF Support Vector Machines. The varying sprung and unsprung masses and the suspension performances with actuator delay are taken into account simultaneously, and the corresponding mathematical model is established. The most important feature of the proposed control strategy is its inherent robustness and its ability to handle the nonlinear behaviour of the system. Simulation results show that the designed controllers can achieve good active suspension performance regardless of the variation on the sprung mass in the presence of actuator time delay.

This paper is concerned with adaptive integral sliding mode control (AISMC) based on a wavelet kernel support vector machine for offshore steel jacket platform subject to nonlinear wave-excited force and parameter perturbations. The sliding mode control technique is combined with adaptive control algorithm and wavelet support vector machine to achieve the desired attenuation on the wave-induced vibration and to limit the displacement of offshore platforms. In this method, wavelet kernel support vector machine is used to establish the adaptive controller and an on-line learning rule for the weighting vector and bias is derived. The most important feature of the proposed control strategy is its inherent robustness and its ability to handle the nonlinear behavior of the offshore platform. By means of this control scheme the performance of the AISMC has been improved. The performance of the proposed control strategy is compared with some existing control schemes. It is demonstrated that the proposed control scheme in this paper is more effective in improving the control performance of the offshore platform. This controller is designed based on solving a set of linear matrix inequalities. It has been illustrated through simulation results that the proposed control scheme is effective in improving the control performance of offshore platforms.

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