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TUTORIAL on LOGICBASED CONTROL Part I: SWITCHED CONTROL SYSTEMS

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Title: TUTORIAL on LOGICBASED CONTROL Part I: SWITCHED CONTROL SYSTEMS


1
TUTORIAL on LOGIC-BASED CONTROLPart I
SWITCHED CONTROL SYSTEMS
Daniel Liberzon
Coordinated Science Laboratory and Dept. of
Electrical Computer Eng., Univ. of Illinois at
Urbana-Champaign
MED 02, Lisbon
2
OUTLINE
3
OUTLINE
4
SWITCHED and HYBRID SYSTEMS
Switched systems continuous systems with
discrete switchings
emphasis on properties of continuous state
Hybrid systems interaction of continuous and
discrete dynamics
  • Autonomous or Controlled

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REASONS for SWITCHING
  • Nature of the control problem
  • Sensor or actuator limitations
  • Large modeling uncertainty
  • Combinations of the above

7
REASONS for SWITCHING
  • Nature of the control problem
  • Sensor or actuator limitations
  • Large modeling uncertainty
  • Combinations of the above

8
PARKING PROBLEM
Nonholonomic constraint wheels do not slip
9
OBSTRUCTION to STABILIZATION
Solution move away first
10
REASONS for SWITCHING
  • Nature of the control problem
  • Sensor or actuator limitations
  • Large modeling uncertainty
  • Combinations of the above

11
OUTPUT FEEDBACK
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QUANTIZED FEEDBACK
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OBSTRUCTION to STABILIZATION
Assume fixed
14
3. Coding and decoding
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LINEAR SYSTEMS
is GAS
Assume
s.t.
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SWITCHING POLICY
level sets of V
.
18
NONLINEAR SYSTEMS
is GAS
Assume
s.t.
19
EXTENSIONS and APPLICATIONS
  • Arbitrary quantization regions
  • Active probing for information
  • Output and input quantization
  • Relaxing the assumptions
  • Performance-based design
  • Application to visual servoing

20
REASONS for SWITCHING
  • Nature of the control problem
  • Sensor or actuator limitations
  • Large modeling uncertainty
  • Combinations of the above

21
MODEL UNCERTAINTY
unmodeled dynamics
parametric uncertainty
Also, noise and disturbances
Adaptive control (continuous tuning) vs.
supervisory control (switching)
22
SUPERVISORY CONTROL
Supervisor
candidate controllers
u1
Controller 1
y
Plant
u
u2
Controller 2
. . .
um
. . .
switching signal
23
STABILITY of SWITCHED SYSTEMS
  • slow switching (on the average)
  • locally confined switching
  • common Lyapunov function

24
REASONS for SWITCHING
  • Nature of the control problem
  • Sensor or actuator limitations
  • Large modeling uncertainty
  • Combinations of the above

25
PARKING PROBLEM under UNCERTAINTY
p
1
p
1
p
Unknown parameters correspond to
the radius of rear wheels and distance between
them
26
SIMULATION
27
OUTLINE
28
OUTLINE
29
TWO BASIC PROBLEMS
  • Stability for arbitrary switching
  • Stability for constrained switching

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COMMON LYAPUNOV FUNCTION
Usually we take P compact and fp continuous
32
SWITCHED LINEAR SYSTEMS
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COMMUTING STABLE MATRICES gt GUES

34
LIE ALGEBRAS and STABILITY
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SOLVABLE LIE ALGEBRA gt GUES
36
SOLVABLE COMPACT gt GUES
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NONLINEAR SYSTEMS
  • Commuting systems
  • Linearization
  • ???

39
REMARKS on LIE-ALGEBRAIC CRITERIA
  • Checkable conditions
  • Independent of representation
  • In terms of the original data
  • Not robust to small perturbations

40
SYSTEMS with SPECIAL STRUCTURE
  • Triangular systems

Linear gt GUES Nonlinear need ISS conditions
  • 2D systems

41
MULTIPLE LYAPUNOV FUNCTIONS
Very useful for analysis of state-dependent
switching
42
MULTIPLE LYAPUNOV FUNCTIONS
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DWELL TIME
44
AVERAGE DWELL TIME
45
SWITCHED LINEAR SYSTEMS
  • GUES over all with large enough
  • Finite induced norms for
  • The case when some subsystems are unstable

46
STABILIZATION by SWITCHING
47
UNSTABLE CONVEX COMBINATIONS
Can also use multiple Lyapunov functions
LMIs
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