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In this paper, a sliding mode controller is presented to control Lorenz chaos subject to sector nonlinear input.
A gradient projection-based model predictive controller is presented for optimal control of a knee extension elicited via FES.
3, where the adaptive neural networks controller is presented to achieve the control objective in finite time.
In this paper, a structured network-wide traffic controller is presented based on Model Predictive Control (MPC) theory.
In this paper, the design of a sliding mode control (SMC), which is a robust nonlinear controller, is presented.
A first preliminary linear controller is presented.
A design of a novel model predictive controller is presented.
A method of designing a nonlinear fuzzy controller is presented.
In this paper a PC-based programmable controller is presented.
A baseline controller is presented for the SUMR.
Firstly, the full digital implementation of the controller is presented.
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