Abstract To address the shortcomings of particle swarm algorithm in solving PID controller parameter optimization problem late stage, an improved is proposed for problem. The optimized by introducing a nonlinear decreasing inertia weight adjustment strategy so that pre-flight speed particles does not drop too fast, thus balancing global search ability with local and avoiding falling into optimu...

With respect to the next frontier of neuromorphic sensing, we propose a parameter tuning method based on mutual information criteria for MEMS-based reservoir computing. It is required MEMS reservoirs tune balance linear and nonlinear characteristics control their dynamical behaviors depending driving forces, such as chaos hysteresis. We focus pre-training machine learning called intrinsic plast...