A review of methods for input/output selection <s> Other applications <s> Abstract Active noise control systems (ANCS) have been used extensively in several diverse applications in order to reduce the sound levels within a confined space. Several control schemes have been proposed, all of which rely on the same basic idea, namely that of introducing an artificial secondary sound field in order to partially cancel the primary sound field. This secondary field is created by using a number of actuators (usually speakers), placed in several locations within the space of interest. In our particular case of interest, the ANCS under consideration is an interior one. The overall ANCS comprises a set of sensors, a control system, and the actuators. Clearly, the optimal design of all three components needs to be addressed when designing an ANCS. In this paper, the problem of deciding to which specific locations (out of several possible ones) the actuators will be located for optimal performance of the ANCS is addressed. Specifically, a genetic algorithm is designed for this problem. The algorithm was implemented and tested against a simple greedy approach. Results indicate the efficiency of the Genetic Algorithm for the problem at hand. <s> BIB001 </s> A review of methods for input/output selection <s> Other applications <s> Abstract This numerical simulation uses multiple linear regression with subset selection to optimize the locations of control actuators in a feedforward active noise control system. By formulating the feedforward control problem as a regression, subset selection can find the actuator locations that provide the best system performance. Subset selection provides benefits over continuous optimization approaches because of its computational efficiency; subset selection can examine systems for which the system response is expensive to compute, such as fluid–structure interaction problems, and can efficiently optimize large numbers of actuators. This paper describes a method for exhaustive-search subset selection, and provides numerical results for a simple active structural-acoustic control problem. <s> BIB002
Some other IO selection applications that do not belong to any of the categories discussed above are listed below: E Braatz et al. (1996, RP) consider actuator placement for a paper machine. E IO selection for active suspensions is studied by Al-Sulaiman and Zaman (1994, e$ciency of manipulation), De Jager et al. (1998, RP) , Van de Wal et al. (1998, RP) , Van de Wal and De Jager (1996, combined RS, and NP) Van de Wal and De Jager (1998, RP) , and Van de Wal and De Jager (1997, RP) . E Demetriou and Fahroo (1999, e$ciency of manipulation), BIB001 , and BIB002 study actuator placement for active noise control. E Kosut and Kabuli (1995) focus on IO selection for a thermal processing chamber.