This paper presents a comparison of ride and handling analysis for an active anti-roll bar system using various types of controller. Work using conventional and modern control approaches has been investigated by previous researches. This study further extends this work by investigating a particular modern control technique using a linear quadratic regulator, linear quadratic Gaussian and composite nonlinear feedback controller in designing the closed loop feedback for an anti-roll bar system control scheme. A simple linear quadratic regulator and a linear quadratic Gaussian are first investigated. An active anti-roll bar system has to balance the trade-off between ride comfort and handling performance. The new linear quadratic Gaussian composite nonlinear feedback (LQG-CNF) fusion control strategy is developed to improve the performances on vehicle ride comfort and handling for an active anti-roll bar system. The linear half car model is combined with a single track model with roll dynamics. The performance of the controllers is compared and the simulation results show that the proposed control strategy gives better performance in terms of vehicle ride comfort and handling.

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This paper analyses a comparison of performance for an active antiroll bar (ARB) system using two types of control strategy. First of all, the LQG control strategy is investigated and then a novel LQG CNF fusion control method is developed to improve the performances on vehicle ride and handling for an active antiroll bar system. However, the ARB system has to balance the trade-off between ride and handling performance, where the CNF consists of a linear feedback law and a nonlinear feedback law. Typically, the linear feedback is designed to yield a quick response at the initial stage, while the nonlinear feedback law is used to smooth out overshoots in the system output when it approaches the target reference. The half car model is combined with a linear single track model with roll dynamics which are used for the analysis and simulation of ride and handling. The performances of the control strategies are compared and the simulation results show the LQG CNF fusion improves the performances in vehicle ride and handling.

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Lung cancer is the second most fatal cancer worldwide and ranks at the eighth place in the overall reported deaths in Malaysia [1]. Almost 90% of lung cancer patients are both active and passive smokers. As early symptoms of lung cancer are commonly unnoticeable, most of the diagnosis of these patients are found out when they are at stage 3 or 4. Therefore, early screening is highly anticipated. Lung cancer screening can be carried out through computed tomography (CT) scan, sputum cytology and biopsy [2].