[Paper Review] Uniform stabilization for linear systems with persistency of excitation. The neutrally stable and the double integrator cases
This paper establishes uniform stabilization for linear systems with persistently exciting (PE) control signals, proving that a fixed linear time-invariant state feedback $ K $ can globally asymptotically stabilize systems when $ A $ is neutrally stable or when the system is a double integrator. The key result is that such a stabilizing gain $ K $ exists and depends only on $ (A,B) $, $ \mu $, and $ T $, even when the control signal $ \alpha(t) $ vanishes over intervals, provided the PE condition holds.
Consider the controlled system $dx/dt = Ax + α(t)Bu$ where the pair $(A,B)$ is stabilizable and $α(t)$ takes values in $[0,1]$ and is persistently exciting, i.e., there exist two positive constants $μ,T$ such that, for every $t\geq 0$, $\int_t^{t+T}α(s)ds\geq μ$. In particular, when $α(t)$ becomes zero the system dynamics switches to an uncontrollable system. In this paper, we address the following question: is it possible to find a linear time-invariant state-feedback $u=Kx$, with $K$ only depending on $(A,B)$ and possibly on $μ,T$, which globally asymptotically stabilizes the system? We give a positive answer to this question for two cases: when $A$ is neutrally stable and when the system is the double integrator.
Motivation & Objective
- To determine whether a fixed linear time-invariant (LTI) state feedback $ K $ can stabilize a linear system under persistently exciting (PE) control signals, even when the control is intermittently zero.
- To address the challenge of stabilizing systems where the control input $ \alpha(t)Bu $ becomes inactive over intervals, making the system uncontrollable at times.
- To provide a constructive solution for stabilization using only the system matrices $ (A,B) $, and the PE parameters $ \mu, T $, without requiring knowledge of the exact switching times of $ \alpha(t) $.
- To extend the notion of averaging stabilization to non-scalar, non-averagable systems by proving the existence of a universal stabilizing gain $ K $ under PE conditions.
Proposed method
- The authors analyze the system $ \dot{x} = Ax + \alpha(t)Bu $, where $ \alpha(t) \in [0,1] $ is a PE signal satisfying $ \int_t^{t+T} \alpha(s)ds \geq \mu $ for all $ t \geq 0 $, with $ \mu, T > 0 $.
- For the neutrally stable case, they use Lyapunov-based arguments and the structure of the system's dynamics to show that a fixed $ K $ stabilizes the system uniformly across all such $ \alpha(t) $.
- For the double integrator, they exploit the nilpotent structure of $ A $ and use a transformation to Brunovsky normal form to reduce the problem to a scalar-like system.
- They apply weak-$ \star $ convergence arguments in $ L^\infty $ and use Gronwall's inequality to prove continuity of solutions with respect to $ \alpha $, ensuring stability under perturbations of the PE signal.
- The proof for the full-rank $ B $ case uses a change of coordinates to reduce the system to $ \dot{x} = Ax + \alpha u $, where $ u = -kx $, and shows that the transformed system satisfies $ \dot{y} = -k\alpha y $, leading to exponential decay.
Experimental results
Research questions
- RQ1Can a fixed linear time-invariant state feedback $ K $ stabilize a linear system when the control signal $ \alpha(t) $ is persistently exciting but may vanish over intervals?
- RQ2Is it possible to achieve global asymptotic stabilization without relying on real-time knowledge of $ \alpha(t) $'s switching pattern, using only $ (A,B) $, $ \mu $, and $ T $?
- RQ3Does the persistency of excitation condition suffice to ensure stabilization via a single, fixed $ K $, even when the system becomes uncontrollable during parts of the trajectory?
- RQ4Can the averaging intuition from scalar systems be extended to multi-dimensional systems with non-averagable dynamics, such as the double integrator?
- RQ5What conditions on $ A $ and $ B $ allow for a universal stabilizing gain $ K $ under PE control signals?
Key findings
- For neutrally stable $ A $, there exists a fixed $ K $ such that the closed-loop system is globally asymptotically stable for all $ \alpha(t) \in \mathcal{G}(T,\mu) $, regardless of the signal's switching behavior.
- For the double integrator system, a fixed $ K $ exists that stabilizes the system uniformly under any PE signal $ \alpha(t) $, even when $ \alpha(t) $ vanishes on intervals.
- When $ \mathrm{rank}(B) = 2 $, the system $ \dot{x} = Ax + \alpha Bu $ is uniformly stabilized by a fixed $ K $, with the proof relying on transformation to a scalar-like system via coordinate change.
- The stabilizing gain $ K $ depends only on $ (A,B) $, $ \mu $, and $ T $, and not on the specific form of $ \alpha(t) $, making it robust to signal irregularities.
- The proof establishes uniform convergence of solutions under weak-$ \star $ convergence of $ \alpha $, ensuring stability is preserved under perturbations of the PE signal.
- The paper shows that the naive averaging intuition from scalar systems does not extend directly to higher-dimensional systems, but a fixed $ K $ still ensures stabilization under PE conditions.
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This review was created by AI and reviewed by human editors.