Finite Gain l
p
Stabilization of Discrete-Time Linear Systems
Subject to Actuator Saturation: the Case of p =1
†
Yacine Chitour
‡
Zongli Lin
†
D´ epartement de math´ ematiques, Universit´ e de Paris-Sud, Orsay-91405, France.
Email: Yacine.Chitour@math.u-psud.fr
‡
Department of Electrical and Computer Engineering, University of Virginia, P.O. Box 400743
Charlottesville, VA 22904-4743, U.S.A. Email: zlin@virginia.edu
Abstract— It has been established by Bao, Lin and Sontag
(2000) that, for neutrally stable discrete-time linear systems
subject to actuator saturation, finite gain l
p
stabilization can
be achieved by linear output feedback, for every p ∈ (1, ∞]
except p =1. An explicit construction of the corresponding
feedback laws was given. The feedback laws constructed also
resulted in a closed-loop system that is globally asymptoti-
cally stable. This note complements the results of Bao, Lin
and Sontag (2000) by showing that they also hold for the
case of p =1.
I. I NTRODUCTION
This short note revisits the problem of simultaneous
global asymptotic stabilization and finite gain L
p
(l
p
)
stabilization of a linear system in the presence of actuator
saturation and measurement and actuator noises (see [8],
[1] and the references therein). More specifically, we
would like to construct a controller C so that the operator
(u
1
,u
2
) → (y
1
,y
2
) as defined by the following standard
systems interconnection (see Fig. 1)
y
1
= P (u
1
+ y
2
)
y
2
= C (u
2
+ y
1
)
(I. 1)
is well-defined and finite gain stable. This problem was
❥ ✲
❄
✛ ✛
✻
❥
✲
u
1
u
2
y
1
y
2
P
C
Fig. 1. Standard closed-loop connection.
first studied for continuous-time systems and various
results have been established for such systems. It was
shown in [8] that, for neutrally stable open loop systems,
linear feedback laws can be used to achieve finite gain L
p
stabilization, for all p ∈ [1, ∞]. Various continuity and
incremental-gain properties of the resulting closed-loop
1
The work of Z. Lin was supported in part by NSF grant CMS-
0324329.
system were discussed in detail in [4]. For a neutrally
stable system, all open loop poles are located in the
closed left-half plane, with those on the jω axis having
Jordan blocks of size one. In the case that full state is
available for feedback (i.e., y
1
= x and u
2
=0), it
was shown in [7] that, if the external input signal is
uniformly bounded, then finite-gain L
p
-stabilization, for
any p ∈ (1, ∞] except p =1, and local asymptotic
stabilization can always be achieved simultaneously by
linear feedback, no matter where the poles of the open
loop system are. The uniform boundedness condition of
[7] was later removed for the case p =2 by resorting to
nonlinear feedback [6]. More recently, the problem of L
p
stabilization for a double integrator system subject to input
saturation feedback and disturbances that are not additive
was investigated in [3], where it is considered the control
system (DI ), ¨ x = σ(−x − ˙ x + u)+ v, with x ∈ IR and
disturbances (u, v). For v =0 and zero initial conditions,
it was established, among other results, that the L
2
-gain
from u to the output of the saturation nonlinearity was
finite. This partially solved Problem 36 as defined in [2].
For nonzero v, an L
∞
-bound is of course necessary to
get any positive result regarding L
p
-stabilization. It was
shown that (DI ) is L
p
-stable (see [3] for the precise
definition of L
p
-stability) if and only if p ≤ 2. In other
words, for p> 2, one can construct a disturbance v
with finite L
p
-norm and arbitrarily small L
∞
-norm that
results in an unbounded trajectory of (DI ). Examples of
other works related to the topic are [5], [9], [10] and the
references therein. The extension of the results of [8] to
discrete-time systems was made in [1]. In particular, it
was shown in [1] that, for neutrally stable discrete-time
linear systems subject to actuator saturation, finite gain l
p
stabilization can be achieved by linear output feedback, for
every p ∈ (1, ∞] except p =1. An explicit construction of
the corresponding feedback laws was given. The feedback
laws constructed also result in a closed-loop system that is
globally asymptotically stable. The objective of this note
is to complement the results of [1] by showing that they
also hold true for the case of p =1.
Proceedings of the 42nd IEEE
Conference on Decision and Control
Maui, Hawaii USA, December 2003 FrP02-2
0-7803-7924-1/03/$17.00 ©2003 IEEE 5663