Absolute stability is about the stability of a system with a
(possibly with time-varying uncertainties):
classic absolute stability theory, the function
y(u,t) describing the
(dashed curves) is bounded by a conic sector
two straight lines
v =k1u and v=k2u):
The system is said to be absolutely stable if the
origin is globally stable for any
the conic sector.
Sufficient conditions for absolute stability have
to the linear functions bounding the conic
are the Circle
Criterion and the Popov Criterion.
Motivation for a more flexible sector: In many situations,
we know some
about the nonlinear component. With a particular type
e.g., saturation or
dead-zone, a conic sector might be too
conservative. It is clear
that a pair of piecewise
linear functions can form a tighter
1. Are envelopes with piecewise linear boundaries
2. How to use a tighter envelope to
improve stability analysis results?
These problems are addressed in the following papers:
T. Hu, B. Huang and Z. Lin, ``Absolute stability with a generalized sector
IEEE Transactions on Automatic Control, Vol. 49, pp.535-548, 2004.
T. Hu and Z. Lin, ``Absolute stability analysis of discrete-time systems with
composite quadratic Lyapunov functions," IEEE Transactions on Automatic
Control, Vol.50, pp.781-797, 2005.
these papers, numerically tractable methods are derived for
stability analysis of systems
whose uncertain nonlinearities are bounded by a pair of
piecewise linear functions. If
the piecewise linear functions are
convex/concave, necessary and sufficient conditions
are obtained for quadratic stability.
These conditions are interpreted with Linear Matrix
Inequalities (LMIs) which are
easily solvable with numerical tools. These tools will help the
design of more
efficient dynamic control systems. The main idea and key steps can be found
power point file: