This paper studies the use of vector Lyapunov functions for the design of
globally stabilizing feedback laws for nonlinear systems. Recent results on
vector Lyapunov functions are utilized. The main result of the paper shows that
the existence of a vector control Lyapunov function is a necessary and
sufficient condition for the existence of a smooth globally stabilizing
feedback. Applications to nonlinear systems are provided: simple and easily
checkable sufficient conditions are proposed to guarantee the existence of a
smooth globally stabilizing feedback law.
This paper develops sufficient conditions for the existence of global
exponential observers for two classes of nonlinear systems: (i) the class of
systems with a globally asymptotically stable compact set, and (ii) the class
of systems that evolve on an open set. In the first class, the derived
continuous-time observer also leads to the construction of a robust global
sampled-data exponential observer, under additional conditions.
A discussion of the robustness properties of the proposed observer with
respect to measurement errors is provided for the recently proposed full-order
and reduced-order, hybrid, dead-beat observer for a class of nonlinear systems,
linear in the unmeasured states.
This paper studies the strong observability property and the reduced-order
dead-beat observer design problem for a continuous bioreactor. New
relationships between coexistence and strong observability, and checkable
sufficient conditions for strong observability, are established for a chemostat
with two competing microbial species. Furthermore, the dynamic output feedback
stabilization problem is solved for the case of one species.
New trajectory-based small-gain results are obtained for nonlinear feedback
systems under relaxed assumptions. Specifically, during a transient period, the
solutions of the feedback system may not satisfy some key inequalities that
previous small-gain results usually utilize to prove stability properties. The
results allow the application of the small-gain perspective to various systems
which satisfy less demanding stability notions than the Input-to-Output
Stability property.
This paper develops a novel methodology to study robust stability properties
of Nash equilibrium points in dynamic games. Small-gain techniques in modern
mathematical control theory are used for the first time to derive conditions
guaranteeing uniqueness and global asymptotic stability of Nash equilibrium
point for economic models described by functional difference equations.
Specification to a Cournot oligopoly game is studied in detail to demonstrate
the power of the proposed methodology.
Sufficient conditions for global stabilization of nonlinear systems with
delayed input by means of approximate predictors are presented. An approximate
predictor is a mapping which approximates the exact values of the stabilizing
input for the corresponding system with no delay. A systematic procedure for
the construction of approximate predictors is provided for globally Lipschitz
systems. The resulting stabilizing feedback can be implemented by means of a
dynamic distributed delay feedback law. Illustrating examples show the
efficiency of the proposed control strategy.
Sufficient conditions for global stabilization of nonlinear systems with
delayed input by means of approximate predictors are presented. An approximate
predictor is a mapping which approximates the exact values of the stabilizing
input for the corresponding system with no delay. A systematic procedure for
the construction of approximate predictors is provided for globally Lipschitz
systems. The resulting stabilizing feedback can be implemented by means of a
dynamic distributed delay feedback law. Illustrating examples show the
efficiency of the proposed control strategy.