Neural Networks in Feedback Control Systemsadaptive learning controllersapproximate dynamic programming (ADP)dynamic gamesfeedback control systemsneural network feedback control structuresneural networks (NNs)n
The performance of the NN approach is evaluated through co-simulations of the scheduler, controllers and process dynamics.doi:10.1007/11552451_26Feng XiaZhejiang UniversityYouxian SunZhejiang UniversitySpringer, Berlin, HeidelbergFeng Xia, Youxian Sun, "Neural Network Based Feedback Scheduling of ...
accompanied by necessary lemmas and assumptions. In Section 3, some set of sufficient conditions for known and unknown actuators are outlined based on both memory and memory-less non-fragile output-feedback controllers along with conventional
These ideas are used in the framework of nonparametric adaptive controllers (Murray-Smith and Sbarbaro, 200...
such controllers provide an important bridge to link limb mechanics, motor behaviour and the neural basis of motor control.As a theory, optimal feedback control generates a number of neurophysiological questions on how such a controller is created by the highly distributed circuitry involved in sensor...
Stabilization of nonlinear systems using event-triggered output feedback controllers IEEE Transactions on Automatic Control (2016)View more references Cited by (102) On stabilizability of multi-agent systems 2022, Automatica Show abstract Extended dissipative sliding mode control for nonlinear networked contr...
Reinforcement Learning and Control: integrating FA in training neural controllers or agents where error signals come from rewards or plant feedback rather than labeled data CDN.AAAI.ORG . Neuromorphic and Hardware Systems: implementing FA/DFA in spiking neural networks or digital accelerators to ...
system. The performance of the developed ANN based LFL method is tested for tracking control problems via mean square error during the training and the test phases. The developed method is applied on both a nonlinear exponential plant and a well-known flexible joint mechanism plant in real-time...
To tackle this problem, we turned to Control Engineering, a well-established discipline to build controllers to regulate the behaviour of physical systems reliably and robustly across a range of operating conditions. Closed-loop feedback control is the most common strategy used in Control Engineering...
considering parameter uncertainties and different disturbances. The controllers used for comparison include the SIMC-SMC method, 2DOF-IMC-SMC method, 2DOF-IMC-PID method, and SIMC-PD method. According to the results, the proposed method outperforms the other mentioned controllers in terms of disturb...