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The piezoelectric transducers embedded in structures offer distributed sensor and actuator architectures for structural control, a process that involves health monitoring and control of local structural degrees of freedom. The design steps demand sensor and actuator management schemes so that the response of a structural component in question is monitored and then tailored to the design requirements. Kalman's inverse theory is used to determine sensor and sensor-actuator combinations for optimal observers and controllers. The Riccati equations for each combination are derived to formulate the linear quadratic Gaussian theory for a reconfigurable architecture. An oscillator model with two inputs is considered to illustrate the underlying structural control principles.

The piezoelectric transducers embedded in structures offer distributed sensor and actuator architectures for structural control, a process that involves health monitoring and control of local structural degrees of freedom. The design steps demand sensor and actuator management schemes so that the response of a structural component in question is monitored and then tailored to the design requirements. Kalman's inverse theory is used to determine sensor and sensor-actuator combinations for optimal observers and controllers. The Riccati equations for each combination are derived to formulate the linear quadratic Gaussian theory for a reconfigurable architecture. An oscillator model with two inputs is considered to illustrate the underlying structural control principles. [ABSTRACT FROM AUTHOR]