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70                                     Introduction to Control Theory

            with an equilibrium point at the origin, i.e. f(t, 0)=0,  and let N be a
            neighborhood of the origin of size   i. e.



            Then


            1. Stability: The origin is stable in the sense of Lyapunov, if for x∈Ν, there
               exists a scalar function V(t, x) with continuous partial derivative such
               that


               (a) V(t, x) is positive definite
               (b) V is negative semi-definite

            2. Uniform Stability: The origin is uniformly stable if in addition to (a) and
               (b) V(t, x) is decrescent for x∈Ν.
            3. Asymptotic Stability: The origin is asymptotically stable if V(t, x) satisfies
               (a) and is negative definite for x∈Ν.
            4. Global Asymptotic Stability: The origin is globally, asymptotically stable
                                                                       n
               if V(t, x) verifies (a), and V(t, x) is negative definite for all x∈ℜ  i.e. if
               N=ℜ .
                    n
            5. Uniform Asymptotic Stability: The origin is UAS if V(t, x) satisfies (a),
               V(t, x) is decrescent, and V(t,x) is negative definite for x∈Ν.
                                                                        n
            6. Global Uniform Asymptotic Stability: The origin is GUAS if N=ℜ , and
               if V(t, x) satisfies (a), V(t,x) is decrescent, V(t,x) is negative definite and
               V(t, x) is radially unbounded, i.e. if it goes to infinity uniformly in time
               as ||x||→∞.
            7. Exponential Stability: The origin is exponentially stable if there exists
               positive constants α, ß, γ such that




            8. Global Exponential Stability: The origin is globally exponential stable if
                                               n
               it is exponentially stable for all x∈ℜ .


            The function V(t, x) in the theorem is called a Lyapunov function. Note that
            the theorem provides sufficient conditions for the stability of the origin and
            that the inability to provide a Lyapunov function candidate has no indication
            on the stability of the origin for a particular system.






            Copyright © 2004 by Marcel Dekker, Inc.
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