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A new event-based proportional integral controller, based on a specific send-on-delta sampling strategy, is analyzed in this paper.
To examine the feasibilities of the proposed development environment, a model-based air-to-fuel ratio controller based on a sliding mode control scheme is implemented as a practical example.
For this MIMO system's dynamics, motivated by a desire to provide precise and sensorless liquid level control, a nonlinear predictive controller based on a continuous-discrete observer is presented.
On top of this optimal feedforward control sequence a feedback (closed-loop) controller based on a linearized model and optimal control design techniques is added to track the desired state evolution.
The authors propose a robust non-linear controller based on a block control linearization technique combined with a second order sliding modes super-twisting algorithm for controlling a rotor speed of single phase induction motors (SPIM).
In this paper, we have proposed a distributed controller based on a feedback-loop control system for resource allocation in a sliced router.
To overcome this problem, a new adaptive controller based on a generalized predictive control (GPC) principle was designed to make the controller more robust.
This article presents the development of a greenhouse intelligent climate control system that uses a fuzzy controller, based on a field programmable gate array (FPGA).
To fill in this gap, this paper presents a fast and robust current controller based on a Model-Predictive Control (MPC) for single-phase PV inverters in other to deal with the LVRT operation.
This paper presents the design of a one step ahead model predictive controller based on a neural network for a single input single output nonlinear system.
This paper presents a novel decentralized nonlinear excitation controller based on a nonlinear optimal predictive control theory for multi-machine power systems to enhance their transient stability.
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