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To deal with parametric uncertainty, load disturbance together with other nonlinear factors in highspeed permanent magnet synchronous motor (PMSM) systems, an adaptive robust controller (ARC) is proposed based on direct torque control method. In the high-speed PMSM modeling process, the unknown nonlinear factors, including modeling error and uncertain disturbance, are considered. Based on the optimized...
A co-design strategy of optimal event-triggered mechanism and dynamic output feedback controller for a class of networked control system with resource-constrained and random time delay is proposed based on the mode-dependent quantizer. Firstly, an adaptive event-triggered mechanism is designed according to the output error in order to reduce the number of information transmission and the occupation...
For the case of homing missile against ground fixed target, a new scheme of integrated guidance and autopilot design is proposed with impact angular constraint. An integrated guidance and control model in the pitch plane is formulated, by combining the relative relationship between homing missile and target and the dynamic of autopilot, where the information is obtained directly from the instrument...
An adaptive robust control (ARC) algorithm is developed for a class of uncertain dynamic nonlinear system with unknown input backlash or backlash-like hysteresis, parametric uncertainties and uncertain disturbances. Due to the non-smooth dynamic nonlinear nature of backlash, existing robust adaptive control methods mainly focus on using approximate inversion of backlash by on-line parameter adaptation...
Clustering has been proven to be an energy efficient topology for wireless sensor networks. It is a key topic to rotate the role of cluster-head to balance the energy load and extend the network lifetime. This paper proposes an estimated energy based adaptive clustering protocol (EEAC), which adopts energy driven cluster-head rotation strategy, selects new cluster-head in local cluster according to...
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