This contribution presents a new methodology for the online identification, which allows the modeling of the stationary and dynamic behavior of nonlinear combustion engines with many input and output variables in shor...
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This contribution presents a new methodology for the online identification, which allows the modeling of the stationary and dynamic behavior of nonlinear combustion engines with many input and output variables in short time with an appropriate model structure. The used models are local polynomial model trees. The necessary enhancements and adaptations of the identification algorithm for local polynomial model trees for the online methodology are presented. To enable an online identification, not only the parameters but also the structure of the models has to be adapted to the ongoing measuring procedure at a test bench. This structure adaptation methods use iteratively recorded measured data for the determination of an optimized model partition and regressor selection regarding the quality and complexity of the model. This maximizes the iterative improvement of the mathematical model, leading to a reduced test bench time. The applicability of the developed methodology is shown for the identification of a model from both, an artificial test function as well as a real diesel engine.
The visualization of layer distribution of furnace burden in the time-radial-height dimension was presented based on array radar measured data. Abnormal data mining and data sampling method were adopted to obtain vali...
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This paper proposes a stator flux and rotor speed estimation method for induction motor (IM) based on extended complex Kalman filter (ECKF). A complex-valued model is adopted that allows a simpler and more effective s...
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This paper presents Barrier Lyapunov Based control of a dual-arm exoskeleton system by using the relative Jacobian technique. Two upper exoskeletons operates in a constrained region of the operational space, whose end...
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Minimum entropy control has been proven to be an effective method in control of non-Gaussian stochastic systems. In this case, the entropy is proposed as a generalization of the variance measure to characterize the ra...
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Minimum entropy control has been proven to be an effective method in control of non-Gaussian stochastic systems. In this case, the entropy is proposed as a generalization of the variance measure to characterize the randomness of the process. Minimum entropy corresponds to small uncertainty (or derivation), but it cannot guarantee the tracking error approaching to zero. Therefore, mean square error also should be added in the criterion. In this paper, by using a simple example, the method of generating a representative approximation of the Pareto optimal control set is investigated in both analytical and numerical ways. And simulation results show the feasibility of the proposed double-objective optimal control method.
Because the new approach cannot be applied directly in the hot-rolled strip laminar cooling process, a simulation is necessary to verify the new approach effectively which can improve the strip quality and production ...
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This paper studies consensus control for multi-input/multi-output(MIMO)discrete-time multi-agent systems(MASs).It makes use of the novel idea of resource allocation in designing both the communication graph and feedba...
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This paper studies consensus control for multi-input/multi-output(MIMO)discrete-time multi-agent systems(MASs).It makes use of the novel idea of resource allocation in designing both the communication graph and feedback *** weakest consensusability condition is obtained for MASs over both directed and undirected graphs,which extends the existing results to MIMO discrete-time *** synthesis procedures are also *** work demonstrates the importance of the graph and controller co-design based on resource allocation for MIMO discrete-time MASs.
This special issue is a collection of papers selected from the 24th Chinese processcontrol Conference(CPCC)that was held in Hohhot,Inner Mongolia,China from August 3 to 4,*** in 1987 and held almost every year,the CP...
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This special issue is a collection of papers selected from the 24th Chinese processcontrol Conference(CPCC)that was held in Hohhot,Inner Mongolia,China from August 3 to 4,*** in 1987 and held almost every year,the CPC Conference focuses on new theoretical developments and practical applications in the area of process *** aims to provide worldwide community of processcontrol researchers and practitioners
Proton Exchange Membrane Fuel cell has many perfect characters and becomes one of the most important research subjects among domestic and international fuel cell fields. Heat transfer management is one of the key tech...
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