最新脳科学が教えるメカニカル mod

＜p＞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. ＜em＞Model Predictive Vibration Control＜/em＞ 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.＜/p＞ ＜p＞In addition to a theoretical primer on active vibration damping and model predictive control, ＜em＞Model Predictive Vibration Control＜/em＞ provides a guide through the necessary steps in understanding the founding ideas of predictive control applied in AVC such as:＜/p＞ ＜p＞・ the implementation of computationally efficient algorithms＜/p＞ ＜p＞・ control strategies in simulation and experiment and＜/p＞ ＜p＞・ typical hardware requirements for piezoceramics actuated smart structures.＜/p＞ ＜p＞The use of a simple laboratory model and inclusion of over 170 illustrations provides readers with clear and methodical explanations, making ＜em＞Model Predictive Vibration Control＜/em＞ the ideal support material for graduates, researchers and industrial practitioners with an interest in efficient predictive control to be utilized in active vibration attenuation.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。

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