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OUTPUT

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Title: PowerPoint Presentation Author: Daniel Liberzon Last modified by: Daniel Liberzon Created Date: 12/4/2000 11:05:56 PM Document presentation format – PowerPoint PPT presentation

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Title: OUTPUT


1
OUTPUT INPUT STABILITY
Daniel Liberzon
Coordinated Science Laboratory and Dept. of
Electrical Computer Eng., Univ. of Illinois at
Urbana-Champaign
MTNS 02
2
MOTIVATION
s
ISS
stability (no outputs)
linear stable eigenvalues
detectability (no inputs)
linear stable unobserv. modes
minimum phase
? ? ?
linear stable zeros stable inverse
3
MOTIVATION Adaptive Control
Plant
Design
Controller
model
  • the system in the box is output-stabilized
  • the plant is minimum-phase

If
Then the closed-loop system is detectable through
e (tunable Morse 92)
4
DEFINITION
Call the system
output-input stable if integer N and
functions s.t.
where
Example
5
UNDERSTANDING OUTPUT-INPUT STABILITY
Output-input stability
Uniform detectability w.r.t. extended output
Input-bounding property
6
SISO SYSTEMS
For systems analytic in controls, can replace the
input-bounding property by
where is the first derivative containing u
For affine systems this reduces to relative
degree ( )
doesnt have this property
For affine systems in global normal form,
output-input stability ISS internal
dynamics
7
MIMO SYSTEMS
Existence of relative degree no longer necessary
For linear systems reduces to usual minimum phase
notion
Input-bounding property via Hirschorns
algorithm
Example
Extensions Singhs algorithm, non-affine systems
8
INPUT / OUTPUT OPERATORS
A system is output-input stable if and only if
its I/O mapping (for zero i.c.) is output-input
stable under suitable minimality assumptions
9
APPLICATION FEEDBACK DESIGN
Example
( r relative degree)
Output-input stability guarantees closed-loop GAS
No global normal form is needed
10
CASCADE SYSTEMS
11
ADAPTIVE CONTROL
Plant
Controller
  • the plant is output-input stable (Nr)
  • the system in the box is input-to-output
  • stable (IOS) from to

If
Then the closed-loop system is detectable through
(weakly tunable)
12
SUMMARY
New notion of output-input stability
  • applies to general smooth nonlinear control
    systems
  • reduces to minimum phase for linear (MIMO)
    systems
  • robust variant of Byrnes-Isidori minimum phase
    notion
  • relates to ISS, detectability,
    left-invertibility
  • extends to input/output operators

Applications
  • Feedback stabilization
  • Cascade connections
  • Adaptive control
  • More ?
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