EstimatorRegulator

EstimatorRegulator[ssm, {l, }]
constructs the feedback regulator for the StateSpaceModel ssm with estimator and feedback gain matrices l and , respectively.

EstimatorRegulator[{ssm, sensors}, {l, }]
uses only sensors as the measured outputs of ssm.

EstimatorRegulator[{ssm, sensors, finputs}, {l, }]
specifies finputs as the feedback inputs of ssm.

EstimatorRegulator[{ssm, sensors, finputs, einputs}, {l, }]
specifies einputs as the exogenous deterministic inputs.

Details and OptionsDetails and Options

  • The standard state-space model ssm can be given as StateSpaceModel[{a, b, c, d}], where a, b, c, and d represent the state, input, output, and transmission matrices in either a continuous-time or a discrete-time system:
  • continuous-time system
    discrete-time system
  • The descriptor state-space model ssm can be given as StateSpaceModel[{a, b, c, d, e}] in either continuous time or discrete time:
  • continuous-time system
    discrete-time system
  • The input can include stochastic inputs , feedback inputs , and exogenous deterministic inputs .
  • The arguments finputs and einputs are lists of integers specifying the positions of and in .
  • The output consists of the noisy measurements as well as other outputs.
  • The argument sensors is a list of integers specifying the positions of in .
  • EstimatorRegulator[ssm, {...}] is equivalent to EstimatorRegulator[{ssm, All, All, None}, {...}].
  • The estimator gains l can be computed using EstimatorGains, LQEstimatorGains, or DiscreteLQEstimatorGains.
  • The feedback gains can be computed using StateFeedbackGains, LQRegulatorGains, or DiscreteLQRegulatorGains.
  • Block diagram of the system with its regulator:
New in 8 | Last modified in 9
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