Steady-state optimal controller with actuator noise variancelinearly related to actuator signal variance |
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Authors: | Ruan M. Choudhury A.K. |
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Affiliation: | Howard Univ., Washington, DC; |
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Abstract: | The linear-quadratic-Gaussian (LQG) method assumes that the covariance matrix of the actuator noise is given before the design of the feedback matrix. However, in practice, the actuator-noise covariance matrix may depend on the actuator signal energy, which depends on the feedback. Consequently, the feedback from LQG theory degrades the system performance. The authors investigate the steady-state optimal controller when the noise variance of an actuator is linearly related to the variance of an actuator signal. This control system could be much more precise and/or spend much less control energy than the one obtained through the use of the ordinary LQG method |
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