European Control Conference 1993: Volume 4

adaptive algebraic algorithm analysis application approach approximation assignment associated assumed bounded called closed closed-loop complex computation condition consider constant control system convergence corresponding defined definition denote derived described determined differential discrete disturbance dynamics equation error estimation event example exists factorization feedback Figure filter finite frequency function gain give given identification IEEE initial input introduced known learning linear systems loop matrix means measurement method minimal motion noise nonlinear Note observer obtained operator optimal output parameters performance plant pole polynomial positive possible prediction presented problem procedure Proof properties References relation respect response robot robust satisfies shown signal solution solved space squares stability step stochastic structure techniques Theorem theory tion transfer unknown variables vector weighting zero