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Model Predictive Vibration Control - Efficient Constrained MPC Vibration Control for Lightly Damped Mechanical Structures (Hardcover, 2012)
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Model Predictive Vibration Control - Efficient Constrained MPC Vibration Control for Lightly Damped Mechanical Structures (Hardcover, 2012)
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Real-time model predictive controller (MPC) implementation in
active vibration control (AVC) is often rendered difficult by fast
sampling speeds and extensive actuator-deformation asymmetry. If
the control of lightly damped mechanical structures is assumed, the
region of attraction containing the set of allowable initial
conditions requires a large prediction horizon, making the already
computationally demanding on-line process even more complex. Model
Predictive Vibration Control provides insight into the predictive
control of lightly damped vibrating structures by exploring
computationally efficient algorithms which are capable of low
frequency vibration control with guaranteed stability and
constraint feasibility. In addition to a theoretical primer on
active vibration damping and model predictive control, Model
Predictive Vibration Control provides a guide through the necessary
steps in understanding the founding ideas of predictive control
applied in AVC such as: * the implementation of computationally
efficient algorithms * control strategies in simulation and
experiment and * typical hardware requirements for piezoceramics
actuated smart structures. The use of a simple laboratory model and
inclusion of over 170 illustrations provides readers with clear and
methodical explanations, making Model Predictive Vibration Control
the ideal support material for graduates, researchers and
industrial practitioners with an interest in efficient predictive
control to be utilized in active vibration attenuation.
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