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This paper proposes the design of anti-windup compensator gain for stability of actuator input constrained state delay systems using constrained pole-position of the closed-loop.
Then the state and input constrained optimal control problem is directly converted into a standard TPBVP without constraints.
In the input constrained case, the proposed indirect method gives more accurate solution with much faster convergence speed.
This paper discusses an on-line approach to Model Predictive Control (MPC) of input constrained linear systems.
A systematic approach to anti-windup synthesis based on the internal model control structure is proposed for open loop stable input constrained multivariable plants.
Based on this model, the input constrained point-to-point quasi-time-optimal control problem is formulated and the resulting two-point boundary value problem is numerically solved.
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In this work we show that the anti-wind-up-bumpless-transfer controller emerges from the structure of model predictive control (MPC) with quadratic objective and input constrains.
The controller is designed to be valid for the possible largest uncertain plant set while accomplishing the performance and control input constrains.
Input signals constrained in magnitude only and simultaneously in magnitude and rate of change are considered in this paper.
Precisely, the initial state of the system is assumed to belong to a given polyhedron and the scalar input is constrained to be bounded.
However, in actual transmission systems, the channel input is constrained to a finite size alphabet with equal probability symbols.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com