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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.
This is a key feature of the overall mechanism as it minimizes the control load and facilitates its use in highly dynamic and unpredictable environments.
For this T S type fuzzy model, the proposed fuzzy controller design approach not only ensures the stability of the closed-loop system, but also minimizes the control input energy with output variance constraints.
where L denotes the feedback gain of a linear-quadratic regulator (LQR) which minimizes the control cost (cf. Eq. 3) and it is defined as follows (cf. [4, 5] for further details): L=-left(B^{T}SB+Omegaright)^{-1}B^{T}SA, with S being the matrix that solves the following discrete time algebraic Riccati equation: S=A^{T}SA+Gamma-A^{T}SBleft[B^{T}SB+Omegaright]^{-1}B^{T}SA.
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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, 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.
For other configurations, optimal open-loop control laws that minimize the control energy consumption are designed.
A tight feedback control loop is designed to meet performance specifications while minimizing the control gains.
Furthermore, this criteria does not always lead to locations that also minimize the control objective.
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.
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minimizes the morbidity
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minimizes the number
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minimizes the packet
minimizes the stress
minimizes the strain
minimizes the amount
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minimizes the need
minimizes the within-cluster
minimizes the escape
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minimizes the window
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