Event-Triggered Safe Stabilizing Boundary Control for the Stefan PDE
System with Actuator Dynamics
Shumon Koga1, Cenk Demir2, and Miroslav Krstic2
Abstract— This paper proposes an event-triggered boundary
control for the safe stabilization of the Stefan PDE system with
actuator dynamics. The control law is designed by applying
Zero-Order Hold (ZOH) to the continuous-time safe stabilizing
controller developed in our previous work. The event-triggering
mechanism is then derived so that the imposed safety conditions
associated with high order Control Barrier Function (CBF)
are maintained and the stability of the closed-loop system is
ensured. We prove that under the proposed event-triggering
mechanism, the so-called “Zeno” behavior is always avoided,
by showing the existence of the minimum dwell-time between
two triggering times. The stability of the closed-loop system is
proven by employing PDE backstepping method and Lyapunov
analysis. The efficacy of the proposed method is demonstrated
in numerical simulation.
I. INTRODUCTION
Safety is an emerging notion in control systems, ensur-
ing required constraints in the state, which is a signifi-
cant property in numerous industrial applications including
autonomous driving and robotics. Classically, such a con-
strained control design has been treated by model predictive
control [1], reference governor [2], reachability analysis [3],
etc. Following the pioneering work by Ames, et. al [4],
the concept of Control Barrier Function (CBF) and the safe
control design by CBF using Quadratic Programming (QP)
have been widely spread to the control community, such as
robust CBF [5], adaptive CBF [6], fixed-time CBF [7]. The
system is said to be safe if the required safe set is forward
invariant, guaranteeing the positivity of CBF.
While most of the research in safe/constrained control has
focused on the systems described by Ordinary Differential
Equations (ODEs), a few recent works have been developing
and analyzing the safety or state constraints in the systems
described by Partial Differential Equations (PDEs), where the
safety in the infinite-dimensional state needs to be satisfied,
such as for distributed concentration [8], gas density [9], or
the liquid level [10]. Our recent work [11] has incorporated
the concept of CBF into the boundary control of a PDE
system, the so-called ”Stefan system” [12], [13], which is
a representative model for the thermal melting process [14]
and biological growth process [15]. We have designed the
nonovershooting control [16] to achieve both safety and
stabilization of the system around the setpoint, and also
developed a CBF-QP safety filter for a given nominal control
1Department of Electrical and Computer Engineering, UC San Diego,
9500 Gilman Drive, La Jolla, CA, 92093-0411, skoga@ucsd.edu
2Department of Mechanical and Aerospace Engineering, UC San Diego,
9500 Gilman Drive, La Jolla, CA, 92093-0411, cdemir@ucsd.edu,
krstic@ucsd.edu
input. The proposed control law is given in continuous
time; however, many practical control systems do not afford
sufficiently high frequency in the actuator to justify the
continuous-time control input.
Some practical technologies own constraints in sensors
and systems with respect to energy, communication, and
computation, which require the execution of control tasks
when they are necessary [17]. To deal with this problem, the
digital control design should be aimed to reduce the number
of closing the loop based on the system state, developed as
event-triggered control. Pioneering work on event-triggered
control is designed for PID controllers in [18]. Following the
literature, authors of [19] have demonstrated the advantages
of event-driven control over time-driven control for stochas-
tic systems. The authors in [20] proposed event-triggered
scheduling to stabilize systems by a feedback mechanism.
Subsequent works [21], [22] proposed novel state feedback
and output feedback controllers for linear and nonlinear
time-invariant systems. Unlike the former literature, [23] and
[24] have regarded the closed-loop system under the event-
triggered control as a hybrid system and guaranteed asymp-
totical stability with relaxed conditions for the triggering
mechanism. To utilize the effect of this relaxation, dynamic
triggering mechanisms are presented in [25].
While all the studies of the event-triggered control men-
tioned above are for ODE systems, authors of [26] and [27]
proposed event-triggered in-domain control for hyperbolic
PDE systems, and authors of [28] proposed event-triggered
boundary control for hyperbolic PDE systems. Following
these studies, [29] developed an event-triggered boundary
controller for a reaction-diffusion PDE, and [30] derived an
adaptive event-triggered control for a hyperbolic PDE with
time-varying moving boundary with bounded velocity. As a
state-dependent moving boundary PDE, an event-triggered
control has been developed to stabilize the one-phase Stefan
PDE in [31]. However, the event-triggering mechanism in
[31] owns a limitation that the upper bound of the dwell-
time is identical to the sole condition for sampling-time
scheduling developed in [32]. Indeed, the condition of the
sampling schedule in [32] serves as the necessary condition
for ensuring the required constraint in the Stefan system.
While, such a necessary condition has not been clarified in
the Stefan system with actuator dynamics considered in [11],
which requires the methodology from high-relative-degree
CBF for satisfying the state constraint.
The event-triggering mechanism has been developed for
the purpose of safety with CBF-based methods in [33], which
proves the nonexistence of the so-called “Zeno behavior”
arXiv:2210.01454v1 [math.OC] 4 Oct 2022