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This paper presents a new encoding scheme for training radial basis function (RBF) networks by genetic algorithms (GAs). In general, it is very difficult to select the proper input variables and the exact number of nodes before training an RBF network. In the proposed encoding scheme, both the architecture (numbers and selections of nodes and inputs) and(More)
This paper presents an approach to approximate the forward and inverse dynamic behaviours of a magnetorheological (MR) damper using evolving radial basis function (RBF) networks. Due to the highly nonlinear characteristics of MR dampers, modelling of MR dampers becomes a very important problem to their applications. In this paper, an alternative(More)
This paper presents a Takagi–Sugeno (T–S) modelbased fuzzy control design approach for electrohydraulic active vehicle suspensions considering nonlinear dynamics of the actuator, sprung mass variation, and constraints on the control input. The T–S fuzzy model is first applied to represent the nonlinear uncertain electrohydraulic suspension. Then, a fuzzy(More)
This paper presents a robust yaw-moment controller design for improving vehicle handling and stability with considerations of parameter uncertainties and control saturation. The parameter uncertainties dealt with are the changes of vehicle mass and moment of inertia about the yaw axis and the variations of cornering stiffnesses. The control saturation(More)
Based on a recently proposed model for the active-magnetic-bearing (AMB) switching mode of operation, this paper presents a robust Takagi-Sugeno-model-based fuzzy-control strategy to stabilize the AMB with fast response speed subject to control-voltage saturation and parameter uncertainties. The sufficient conditions for the existence of such a controller(More)
This paper covers a comparative study on fuel economy and emissions of a conventional hybrid electric vehicle (HEV) and the UTS plug-in HEV (PHEV). The interaction between the components such as energy storage system, electric machine, power control unit and internal combustion engine of the UTS PHEV are complex in order to optimize the fuel economy and(More)