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Hybrid Control and Switched Systems Lecture #10

This lecture covers topics related to switched systems, linear switched systems, and Lyapunov stability, as well as using switched systems to analyze complex hybrid systems.

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Hybrid Control and Switched Systems Lecture #10

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  1. Hybrid Control and Switched Systems Lecture #10Switched systems João P. Hespanha University of Californiaat Santa Barbara

  2. Summary • Switched systems • Linear switched systems • Lyapunov stability, asymptotic stability, exponential stability • Using switched systems to analyze complex hybrid systems

  3. Switched system parameterized family of vector fields ´fp : Rn!Rnp2 Q parameter set switching signal ´ piecewise constant signal s : [0,1) !Q S´ set of admissible switching signals E.g., S› { s : Ns(t, t)· 1 + (t – t), 8t > t¸ 0 } # of discontinuities of s in the interval (t, t) switching times (discontinuities of s) s = 1 s = 1 s = 3 s = 2 t A solution to the switched system is any pair (s, x) with s 2 S and x a solution to time-varying ODE

  4. Switched system with state-dependent switching parameterized family of vector fields ´fp : Rn!Rnp2 Q parameter set switching signal ´ piecewise constant signal s : [0,1) !Q S´ set of admissible pairs (s, x) with s a switching signal and x a signal in Rn E.g., S› {(s, x): Ns(t, t)· 1+ sups2(t,t) ||x(s)|| (t – t), 8t > t ¸ 0 } for each x only some s may be admissible switching times s = 1 s = 1 s = 3 s = 2 t A solution to the switched system is a pair (s, x) 2 S for which x is a solution to time-varying ODE

  5. Switched system with resets parameterized family of vector fields ´fp : Rn!Rnp2 Q parameter set switching signal ´ piecewise constant signal s : [0,1) !Q S´ set of admissible pairs (s, x) with s a switching signal and x a signal in Rn switching times s = 2 s = 1 s = 1 s = 3 t • A solution to the switched system is a pair (s, x) 2 S for which • on every open interval on which s is constant, x is a solution to • at every switching time t, x(t) =r(s(t), s–(t), x–(t) ) time-varying ODE

  6. Time-varying systems vs. Hybrid systems vs. Switched systems Time-varying system´ for each initial condition x(0) there is only one solution (all fp locally Lipschitz) Hybrid system´ for each initial condition q(0), x(0) there is only one solution Switched system´ for each x(0) there may be several solutions, one for each admissible s the notions of stability, convergence, etc.must address “uniformity” over all solutions

  7. Stability of ODEs equilibrium point ´xeq2 Rn for which f(xeq) = 0 class K´ set of functions a : [0,1)![0,1) that are1. continuous2. strictly increasing3. a(0)=0 a(s) s Definition (class K function definition):The equilibrium point xeq is (Lyapunov) stable if 9a 2 K: ||x(t) – xeq|| ·a(||x(t0) – xeq||) 8t¸t0¸ 0, ||x(t0) – xeq||· c x(t) a(||x(t0) – xeq||) ||x(t0) – xeq|| xeq t

  8. Stability of switched systems equilibrium point ´xeq2 Rn for which fq(xeq) = 0 8q2 Q class K´ set of functions a : [0,1)![0,1) that are1. continuous2. strictly increasing3. a(0)=0 a(s) s Definition (class K function definition): The equilibrium point xeq is (Lyapunov) stable if 9a 2 K: ||x(t) – xeq|| ·a(||x(t0) – xeq||) 8t¸t0¸ 0, ||x(t0) – xeq||· c along any solution (s, x) 2 S to the switched system a is independentof x(t0) and s x(t) a(||x(t0) – xeq||) ||x(t0) – xeq|| xeq t in switched systems one is only concerned about boundedness or convergence of the continuous state

  9. Asymptotic stability of ODEs equilibrium point ´xeq2 Rn for which f(xeq) = 0 class K´ set of functions a : [0,1)![0,1) that are1. continuous2. strictly increasing3. a(0)=0 a(s) s Definition: The equilibrium point xeq is (globally) asymptotically stable if it is Lyapunov stable and for every initial state the solution exists on [0,1) and x(t) !xeq as t!1. x(t) a(||x(t0) – xeq||) ||x(t0) – xeq|| xeq t

  10. Asymptotic stability of switched systems equilibrium point ´xeq2 Rn for which fq(xeq) = 0 8q2 Q class K´ set of functions a : [0,1)![0,1) that are1. continuous2. strictly increasing3. a(0)=0 a(s) s Definition: The equilibrium point xeq is (globally) asymptotically stable if it is Lyapunov stable and for every solution that exists on [0,1) x(t) !xeq as t!1. x(t) a(||x(t0) – xeq||) ||x(t0) – xeq|| xeq t

  11. Asymptotic stability of ODEs b(s,t) (for each fixed t) equilibrium point ´xeq2 Rn for which f(xeq) = 0 class KL´ set of functions b : [0,1)£[0,1)![0,1) s.t.1. for each fixed t, b(¢,t) 2K2. for each fixed s, b(s,¢) is monotone decreasing and b(s,t) ! 0 as t!1 s b(s,t) (for each fixed s) t Definition (class KL function definition): The equilibrium point xeq is (globally) asymptotically stable if 9b2KL: ||x(t) – xeq|| ·b(||x(t0) – xeq||,t – t0) 8t¸t0¸ 0 b(||x(t0) – xeq||,t) b(||x(t0) – xeq||,0) x(t) ||x(t0) – xeq|| We have exponential stability when b(s,t) = c e-l t s with c,l > 0 xeq t

  12. Uniform asymptotic stability of switched systems b(s,t) (for each fixed t) equilibrium point ´xeq2 Rn for which f(xeq) = 0 class KL´ set of functions b : [0,1)£[0,1)![0,1) s.t.1. for each fixed t, b(¢,t) 2K2. for each fixed s, b(s,¢) is monotone decreasing and b(s,t) ! 0 as t!1 s b(s,t) (for each fixed s) t Definition (class KL function definition): The equilibrium point xeq is uniformly asymptotically stable if 9b2KL: ||x(t) – xeq|| ·b(||x(t0) – xeq||,t – t0) 8t¸t0¸ 0 along any solution (s, x) 2 S to the switched system b is independentof x(t0) and s b(||x(t0) – xeq||,t) b(||x(t0) – xeq||,0) We have exponential stability when b(s,t) = c e-l t s with c,l > 0 x(t) ||x(t0) – xeq|| xeq t

  13. Three notions of stability a is independentof x(t0) and s Definition (class K function definition): The equilibrium point xeq is stable if 9a 2 K: ||x(t) – xeq|| ·a(||x(t0) – xeq||) 8t¸t0¸ 0, ||x(t0) – xeq||· c along any solution (x, s) 2 S to the switched system Definition: The equilibrium point xeq2 Rn is asymptotically stable if it is Lyapunov stable and for every solution that exists on [0,1) x(t) !xeq as t!1. Definition (class KL function definition): The equilibrium point xeq2 Rn is uniformly asymptotically stable if 9b2KL: ||x(t) – xeq|| ·b(||x(t0) – xeq||,t – t0) 8t¸t0¸ 0 along any solution (s, x) 2 S to the switched system b is independentof x(t0) and s exponential stability when b(s,t) = c e-lts with c,l > 0

  14. Example S´ set of piecewise constant switching signals taking values in Q › {–1, +1} S´ set of piecewise constant switching signals taking values in Q › {–1, 0} S´set of piecewise constant switching signals taking values in Q › {–1, 0} with infinitely many switches S´set of piecewise constant switching signals taking values in Q › {–1, 0} with infinitely many switches and interval between consecutive discontinuities bounded below by 1 S´set of piecewise constant switching signals taking values in Q › {–1, 0} with infinitely many switches and interval between consecutive discontinuities below by 1 and above by 2

  15. Example S´ set of piecewise constant switching signals taking values in Q › {–1, +1} unstable S´ set of piecewise constant switching signals taking values in Q › {–1, 0} stable but not asympt. S´set of piecewise constant switching signals taking values in Q › {–1, 0} with infinitely many switches stable but not asympt. S´set of piecewise constant switching signals taking values in Q › {–1, 0} with infinitely many switches and interval between consecutive discontinuities bounded below by 1 asympt. stable S´set of piecewise constant switching signals taking values in Q › {–1, 0} with infinitely many switches and interval between consecutive discontinuities below by 1 and above by 2 uniformly asympt. stable

  16. Linear switched systems Aq, Rq,q’ 2 Rn£ n q,q’2 Q vector fields and reset maps linear on x s = 2 s = 1 s = 1 s = 3 t0 t2 t3 t1 t

  17. Linear switched systems Aq, Rq,q’ 2 Rn£ n q,q’2 Q vector fields and reset maps linear on x s = 2 s = 1 s = 1 s = 3 t0 t2 t3 t1 t state-transition matrix for the switched system (s-dependent) t1, t2, t3,…, tk´ switching times of s in the interval [t,t)

  18. Linear switched systems Aq, Rq,q’ 2 Rn£ n q,q’2 Q state-transition matrix (s-dependent) t1, t2, t3,…, tk´ switching times of s in the interval [t,t) • Analogous to what happens for (unswitched) linear systems: • Fs(t,t) = I 8t • Fs(t,s) Fs(s,t) = Fs(t,t) 8t¸s¸t (semi-group property) • if t is not a switching time, Fs (t,t) is differentiable at t and • if t is a switching time, • variation of constants formula holds for systems with inputs for a given s, Fs is a “solution” to the switched system with resets but now Fsmay not be nonsingular (will be singular if one of the Rq q’ are)

  19. Uniform vs. exponential stability Aq, Rq,q’ 2 Rn£ n q,q’2 Q state-independent switching ´S is such that (s, x) 2S) (s, z) 2S for any other piecewise continuous z only s determines whether or not (s, x) is admissible Theorem: For switched linear systems with state-independent switching, uniform asymptotic stability implies exponential stability (two notions are equivalent) Outline… 1stBy uniform asymptotic stability 9b 2 KL: ||x(t)|| ·b(||x(t0)||,t – t0) 8t¸t0¸ 0 2nd Choose T sufficiently large so that b(1,T) = g = e–l < 1 ( l > 0) 3rd Pick arbitrary solution (s, x ) 2 S 4th Consider another solution (s, x*) starting at x*(t1) = z›x(t1)/||x(t1)||. Thenx(t2) = Fs(t2,t1) x(t1) =||x(t1)||Fs(t2,t1) z = ||x(t1)|| x*(t2) ||x*(t2)|| ·b(||z||,t2 – t1) = b(1, t2 – t1) ) || x(t2) || ·b(1, t2 – t1) ||x(t1)|| exponential decrease of gk any interval of length ¸k T

  20. Uniform vs. exponential stability Aq, Rq,q’ 2 Rn£ n q,q’2 Q state-independent switching ´S is such that (s, x) 2S) (s, z) 2S for any other piecewise continuous z only s determines whether or not (s, x) is admissible Theorem: For switched linear systems with state-independent switching, uniform asymptotic stability implies exponential stability (two notions are equivalent) Outline… 4th … || x(t2) || = b(1, t2 – t1) ||x(t1)|| 5th Given an arbitrary interval [t0,t], break it into k› floor((t – t0)/T) intervals of length T plus one interval of length smaller than T …

  21. Example #2: Thermostat y´ mean temperature off on room heater turn heater off y turn heater on t The state of the system remains bounded as t!1:

  22. Example #2: Thermostat y´ mean temperature off on room heater turn heater off y turn heater on t • A0, A1 asymptotically stable (all eigenvalues with negative real part) • if system would stay in off mode forever then eq. state xeq = A0–1b0 is asymptotically stable & y !yoff›c0A0–1b0·y*-h • if system would stay in on mode forever then eq. state xeq = A1–1b1 is asymptotically stable & y !yon›c1A1–1b1¸ y* With switching, does the overall state x of the system remains bounded as t !1?

  23. Example #2: Thermostat y´ mean temperature off on room heater One option to prove that the state remains bounded: 1st Establish a bound of how fast switching can occur:on an interval (t, t) the maximum number of switchings N(t, t) is bounded by Why? maximum derivative of y is proportional to ||x|| and between two consecutive switchings y must have a variation of h a (sequence) property of the discrete-component of the state

  24. Example #2: Thermostat y´ mean temperature off on room heater One option to prove that the state remains bounded: 1st Establish a bound of how fast switching can occur:on an interval (t, t) the maximum number of switchings N(t, t) is bounded by x is a solution to the following (state-dependent) switching system: Why? maximum derivative of y is proportional to ||x|| and between two consecutive switchings y must have a variation of h with a (sequence) property of the discrete-component of the state (tough to analyze directly…)

  25. Example #2: Thermostat y´ mean temperature off on room heater One option to prove the state remains bounded: 2nd Estimate how large x can be from y: For the following (state independent) switching systems a (sequence) property of the continuous-dynamics ·y* there exist constants a ¸ 1, b, g > 0 such that • constants , ,  depend on N0 & tD • to prove this one needs the system to be observable from y

  26. Example #2: Thermostat 1st On an interval (t,t) the maximum number of switchings N(t,t) is bounded by 2nd Assuming that the max. number of switchings N(t,t) on (t,t) is bounded by Then there exist constants a ¸ 1, b, g > 0 such that 3rd For any choice of tD and h such that x must be bounded for any solution compatible with 1 & 2 above. Hint: prove by contradiction that

  27. Proof… We will show that 1nd For s = 0, (*) holds because … 2nd By contradiction suppose that (*) holds strictly for t 2 [0,t*) and with equality at t = t*. ThenTherefore, we conclude that (*) a ¸ 1 ||x(t*)|| can never reach h / (cD) !

  28. Discrete/continuous decoupling 1st x is a solution to the following (state-dependent) switching system: 2nd For the following (state-independent) switching system: There exist constants a, b, g such that property of thediscrete evolution + property of a(state-independent)switching systems = property of theinterconnection

  29. Next lecture… • Stability under arbitrary switching • Instability caused by switching • Common Lyapunov function • Converse results • Algebraic conditions

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