This paper innovatively applies fuzzy comprehensive evaluation (FCE) method with analytic
hierarchy process methodology (AHP) to quantitatively explore the academic value of …

Energy management strategies are a core technology in hybrid electric vehicles and plug-in
hybrid electric vehicles (HEVs/PHEVs), which directly determines fuel economy, power …

In the Proportional-Integral-Derivative (PID) controllers the control signal is a linear function
of: the current control error (the proportional part), the past errors (the integral part) and the …

能量管理策略是混合动力汽车的核心技术, 其直接决定了整车燃油经济性, 动力性及驾驶性.
然而, 实际工况的不确定性和扰动性极大地增加了能量管理算法的设计难度. 为此, 开发高效 …

This paper presents a new path tracking scheme for a car-like mobile robot based on neural
predictive control. A multi-layer back-propagation neural network is employed to model non …

Particle accelerators are host to myriad nonlinear and complex physical phenomena. They
often involve a multitude of interacting systems, are subject to tight performance demands …

In this paper, a novel fuzzy Generalized Predictive Control (GPC) is proposed for discrete-
time nonlinear systems via Takagi-Sugeno system based Kernel Ridge Regression (TS …

This paper presents a design methodology for predictive control of industrial processes via
recurrent fuzzy neural networks (RFNNs). A discrete-time mathematical model using RFNN …

In this paper, we introduce a general modeling technique, called vector-quantized temporal
associative memory (VQTAM), which uses Kohonen's self-organizing map (SOM) as an …

This paper presents new results on a neural network approach to nonlinear model predictive
control. At first, a nonlinear system with unmodeled dynamics is decomposed by means of …