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Articles you may be interested in Controllability of probabilistic Boolean control networks with time-variant delays in states SCIENCE CHINA Information Sciences 59, 092204 (2016); On controllability and stabilizability of probabilistic Boolean control networks SCIENCE CHINA Information Sciences 57, 012202 (2014); Pinning controllability of autonomous \\Boolean control networks SCIENCE CHINA Information Sciences 59, 070107 (2016); Pinning controllability of autonomous Boolean control networks SCIENCE CHINA Information Sciences Controllability of time-variant Boolean control networks and its application to Boolean control networks with finite memories SCIENCE CHINA Information Sciences 56, 108201 (2013);. RESEARCH PAPER. SCIENCE CHINA Information Sciences

This research focuses on four-wheel-drive electric vehicles. On the basis of the hierarchical coordinated control strategy, the coordinated control system of driving force distribution regulation and differential braking regulation was designed to increase the electric vehicles steering stability under special road working conditions. A seven-degree-of-freedom model of an electric vehicle was established in MATLAB/Simulink, and then a hierarchical coordination control model of the Electronic stability program and dynamic torque distribution control system was established. Adaptive fuzzy control was applied to ESP and, based on the neural network PID control, a torque distribution control system was designed. On the basis of the proposed coordinated control model, a performance simulation and a hardware-in-the-loop test of the control system under the typical working condition of single line shift were carried out. From the final results, it can be seen that the proposed control strategy can greatly improve the safety of the vehicle after serious side slip, increase the stability of the whole vehicle, and effectively increase the vehicle lateral stability.

In this paper, a set of data is assumed to be obtained from an experiment that satisfies a Boolean dynamic process. For instance, the dataset can be obtained from the diagnosis of describing the diffusion process of cancer cells. With the observed datasets, several methods to construct the dynamic models for such Boolean networks are proposed. Instead of building the logical dynamics of a Boolean network directly, its algebraic form is constructed first and then is converted back to the logical form. Firstly, a general construction technique is proposed. To reduce the size of required data, the model with the known network graph is considered. Motivated by this, the least in-degree model is constructed that can reduce the size of required data set tremendously. Next, the uniform network is investigated. The number of required data points for identification of such networks is independent of the size of the network. Finally, some principles are proposed for dealing with data with errors.

The fundamental mode frequency of A6 magnetron is investigated theoretically by the equivalent circuit method, and an exact theoretical formula as a function of structure dimensions is derived. The theoretical results are compared with the simulation and experimental results, and the relative errors, which are calculated according to the theoretical and simulation or experimental frequencies, are less than 3%. So the validity of the theoretical formula is verified. In addition, this approach can also be used in other configurations but some changes need to be made in the formula according to the specific structures.