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Product design optimization has traditionally been dealt with consumer preference as a deterministic process, such as conjoint analysis and multi-dimensional scaling. Actually, the hypothesis in those methods that consumer needs and preference are static and insulated is questioned by many marketing researchers. Preference dynamic and dependence suggest itself to be a challenging task. This paper...
This paper investigates the adaptive parallel simultaneous stabilization (APSS) of two multi-input nonlinear Port-Controlled Hamiltonian (PCH) systems subject to actuator saturation, and proposes a number of results on the design of the APSS controllers. Using both the dissipative Hamiltonian structural and saturated actuator properties, the two systems are combined to generate an augmented PCH system...
This paper deals with the problem of adaptive robust parallel simultaneous stabilization(ARPSS) of two uncertain nonlinear port-controlled Hamiltonian systems subject to input saturation, and proposes a number of results on the control design. Firstly, an adaptive H∞ control design approach is presented by using both the dissipative Hamiltonian structural and saturated actuator properties for the...
This paper deals with the problem of adaptive control of uncertain nonlinear port-controlled Hamiltonian systems subject to actuator saturation, and proposes a number of results on the control design. Firstly, an adaptive H∞ control design approach is presented by using both the dissipative Hamiltonian structural and saturated actuator properties for the case that there are both parametric uncertainties...
In the environment with objects moving randomly, the positions of moving objects can be modeled as a range of possible values, associated with a probability density function. Data mining of such positions of uncertain moving objects attracts more and more research interest recently. The definitions of probabilistic core object and probabilistic density-reachability are presented and a density-based...
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