STABILIZATION by QUANTIZED FEEDBACK : HYBRID CONTROL APPROACH Daniel Liberzon Coordinated Science Laboratory and Dept. of Electrical & Computer Eng., Univ.

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STABILIZATION by QUANTIZED FEEDBACK : HYBRID CONTROL APPROACH Daniel Liberzon Coordinated Science Laboratory and Dept. of Electrical & Computer Eng., Univ. of Illinois at Urbana-Champaign IFAC ‘02, Barcelona

QUANTIZED FEEDBACK PLANT QUANTIZER CONTROLLER u x q(x) x sensitivity M values

OBSTRUCTION to STABILIZATION Assume: fixed Asymptotic stabilization is impossible

MOTIVATING EXAMPLES 1. Temperature sensor normal too low too high 2. Camera with zoom Tracking a golf ball 3. Coding and decoding

VARYING the SENSITIVITY zoom out zoom in Why switch ? More realistic Easier to design and analyze Robust to time delays

LINEAR SYSTEMS is GAS:Assume: Along solutions of quantization error Then can achieve GAS we have for some s.t.

SWITCHING POLICY We have level sets of V.

NONLINEAR SYSTEMS is GAS: Assume: s.t. Need: along solutions of wh er e is pos. def., increasing, and unbounded (this is input-to-state stability wrt measurement error) Then can achieve GAS quantization error

EXTENSIONS and APPLICATIONS Arbitrary quantization regions Active probing for information Output and input quantization Relaxing the assumptions Performance-based design Application to visual servoing