Exact(12)
In this paper, a computationally efficient controller is proposed for the target control problem when the system is modelled by hybrid automata.
Therefore, designing an efficient controller for this system is a challenging task for the control engineers.
The considered control design is also motivated by the need for efficient controller computation that will allow implementations on large wind farms.
This paper provides the design for a stand-alone PV lithium ion battery power system with an efficient controller.
In this paper, we seek to develop an efficient controller for vibration reduction in a small square plate clamped on all edges.
A robust and efficient controller is proposed, driving the engine in order to actively damp the driveline oscillations.
Similar(48)
Dynamic models are also important for synthesizing efficient controllers.
Simulation analysis demonstrates the robustness of the proposed stochastic controller, showing that efficient controllers can indeed be designed with this newly-spread vehicle technology even in the absence of other data collection schemes (e.g. loop detectors).
An overview of our research results on the implementation of model predictive control (MPC) on-chip is presented, with central focus the development of small-size, energy efficient controllers suitable for drug delivery systems and devices.
Second, a smoothly switching function is designed to yield neural network (NN) based energy-efficient controller.
First, a novel nth-order smoothly switching function is presented, and then an energy-efficient controller is obtained.
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