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The robust extended Kalman filter (REKF) is used to adjust the controller parameters automatically during the operation process of any system applying the controller to minimize the control error.
Furthermore, this criteria does not always lead to locations that also minimize the control objective.
For other configurations, optimal open-loop control laws that minimize the control energy consumption are designed.
The optimization algorithm calculating the optimal actuator placements makes use of the electric potentials to minimize the control effort.
The two loops are designed in such a way to minimize the control effort and the interaction between them.
Moreover, an adaptive law is employed to estimate the unknown bound of uncertainty, which is obtained in the sense of Lyapunov stability theorem to minimize the control effort.
Similar(47)
Furthermore, the optimal controller placement problem in in-band mode is examined, which aims to find the optimal switch location where the controller can be collocated by minimizing the control message delay.
The controller distributes the control power to the individual surfaces such that it minimizes the control effort yet fulfilling roll performance requirements in a wide airspeed envelope.
A tight feedback control loop is designed to meet performance specifications while minimizing the control gains.
Said otherwise, we investigate the minimax problem of minimizing the control energy over the worst possible initial conditions.
The state dependent model predictive control is derived by minimizing the control error of states and control roughness of control input for a safe, smooth and fuel efficient approaching trajectory.
More suggestions(15)
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com