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In this paper, a novel model, named double-reservoir echo state networks (DR-ESN), is proposed. DR-ESN is constructed by two reservoirs which are connected in series, thus the performance of abstracting the characteristics from the prediction task is improved. A sufficient condition is provided to ensure the stability of DR-ESN. The batch gradient method and ridge regression method are utilized to...
This paper is concerned with the optimal control problem for a class of unknown continuous-time nonlinear system. A system identification method by date-driven model is established to reconstruct the unknown system dynamic by the input-output data. Then considering the optimal control problem, a novel critic neural networks design is proposed based on the policy iteration (PI), where the updating...
In this paper, the forward and inverse kinematics of a robot manipulator named RV-M1 are analyzed. The forward kinematic model is based on the DH parameters, and the inverse one is derived in closed form. Then, the interactive simulation system is established using MATLAB software which is one of the most used platforms for the modeling and simulation of robot systems. Finally, the simulation results...
Since it is difficult to establish precise physical model of complex systems, time series prediction is often used to predict their health trend and running state. Aiming at online prediction, we proposed a new scheme to fix the problems of time series online prediction, which is based on LS-SVR model and incremental learning algorithm. The scheme includes two aspects. Firstly, by replacing single...
RFID finds wide-ranging applications in many fields. When customers decide to implement a RFID application,they are possibly confused with some technical problems while allocating tags and readers to satisfy their business requirements. Due to the environment complexity, a general RFID deployment strategy is inapplicable that means the customers must create their own specific one. A simulator for...
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