2results about How to "Achieve control objectives" patented technology

The invention discloses a networked vehicle queue collaborative optimization safety control method and a networked vehicle queue collaborative optimization safety control system. Firstly, a leading vehicle and following vehicle queue system model is established, and vehicle state information is collected through a sensor; a distributed communication time delay elastic observer is designed to estimate the state of the pilot vehicle for the abnormity possibly existing in the inter-vehicle communication link. And the system makes a difference between the state of the following vehicle and the real state of the pilot vehicle or the state of the observer according to a communication link state judgment result, and an error system is constructed. Then, based on a value function, a Hamiltonian and an HJB equation are derived, and an optimal control law is solved. And finally, an evaluation and execution neural network in reinforcement learning is utilized to respectively approach the value function and the control law, and an optimized optimal control law is obtained through iterative calculation and is output to the following vehicle. According to the method, multi-vehicle-queue collaborative optimization control is realized, and the stability and robustness of the system under hostile attacks and abnormal communication are effectively improved.

The application discloses an industrial wastewater treatment process modeling and decision control integrated method and system, and the method comprises the following steps: (1) based on the analysis of reaction mechanism under the conservation of mass and multiphase coexistence and the analysis of reactor structure, an industrial wastewater treatment process model of multi-reactor cascade is constructed; (2) a hierarchical optimization control strategy is adopted to separate and control the target components of the industrial wastewater treatment process, namely: the upper layer determines the process control target according to the requirements and economic indexes of the industrial wastewater treatment process; the lower layer adopts a model predictive control method, obtains the control input sequence of the industrial wastewater treatment process based on the determined process control target, and issues the optimal control input to act on the industrial wastewater treatment process. The application can be applied to the control of the industrial wastewater treatment process, and can significantly improve the control precision and process indexes.