... stabilization for a class of uncertain nonlinear
systems by means of periodically intermittent control. Several sufficient conditions of exponential
stabilization for this class of uncertainnonlinearsystems ... trajectories.
Besides these control methods fornonlinearsystems mentioned above, intermittent
control is a special form of switching control 8. It has been used for a variety of
purposes in ... model with a predictive control algorithm was proposed for
linear systemswith input constraints. Recently, incontinuous contro l techniques suc h as
impulsive control 6 and piecewise feedback control...
... H
+
=0,thenweconsiderc
j
for j ≥ 2. As per the above arguments,
J(0) < c
0
≤ c
2
≤ c
3
≤···≤ c
dim H
−
≤ c
∞
and if c := c
j
= = c
j+l
for 2 ≤ j ≤ j + l ≤
dim H
-
with l ≥ 1, then i(K
c
∩ S) ≥ l +1≥ 2.
Therefore, ... 2011
References
1. Bartolo, P, Benci, V, Fortunato, D: Abstract critical point theorems and applications to some nonlinear problems with
strong resonance at infinity. Nonlinear Anal. 7, 981–1012 (1983). ... ciritical point and applications to nonlinear differential
equations with resonace. Houson J Math. 25, 563–582 (1999)
4. Molle, R, Passaseo, D: Nonlinear elliptic equations with large supercritical exponents....
... performance for the MIMO
systems with a sma ll number of antennas. In the sys-
tems with a large number of antennas, we can achieve
even higher complexity reduction without significant
performance ... increased
diversity.
In Figures 3 and 4, the performance of MIMO systems
with larger number of antennas are c ompared. Almost
the same relative performance tendency is obtained. The
performance of the ZF-OSIC receiver ... results
Monte Carlo simulations are performed for a wireless
system with multiple antennas to evaluate the perfor-
mance of the proposed selection criterion. For the sake
of simplicity, we consider...
... possible for the performance of the proposed
receiver for different channels. In addition, the AWGN or
the matched filter bound and the BER performance of the
proposed receiver for the CM1 channel with ... Conclusion
AniterativeFDreceiverispresentedtocombatwiththe
deteriorating effects of using short CP for IR UB systems.
An IBI estimation and cancellation scheme that can be used
both with an FD channel estimator and with an FD MMSE
equalizer ... proposed system under parametricuncertainties such
as the synchronization errors, channel estimation errors ,
and as well as the derivation of analytical performance
bounds for the channel estimation...
... Q-OFDMA systems
with smaller P have better BER performance; while with SNR
increasing, Q-OFDMA systemswith larger P will become
superior. The exact SNR point where one system starts to
outperform ... iterations
Figure 7: BER performance comparison between Q-OFDMA
systems with different receivers in Wimax channel model, with 64-
QAM modulation.
conjunction with channel estimation for Q-OFDMA systems
is proposed ... Q-OFDMA systemswith turbo receiver, P should be
chosen carefully within system constraints according to the
complexity/performance tradeoff.
4. Simulations
In this section, we present the BER performance...
... milliseconds for TSPS and PFS, and 15 milliseconds for
the b
2
PFS. Furthermore, the packet loss rate for each scheme
is 0% for the TSPS, 1.6
·10
−3
% for the PFS, and 1.6 · 10
−4
%
for the b
2
PFS. ... packets
(P(τ
i,p
<τ)) (see [17] for more information on the
measurement procedure). The allocation algorithm follows
the one proposed in Section 3 with P
burst
={10}. For the
PFS and b
2
PFS scheduling ... using each prioritization function
is 275 milliseconds for TSPS, 535 milliseconds for PFS,
and 530 milliseconds for the b
2
PFS. Nevertheless, for the
TSPS scheduler the improvement due to the urgency...
... admis-
sion control in power-controlled mobile systems, ” IEEE/ACM
Transactions on Networking, vol. 5, no. 2, pp. 255–265, 1997.
[2] Y. Bao and A. S. Sethi, “Performance-driven adaptive admis-
sion control ... classes
R
i
Data rate for packet i
p
i
Transmitted power for packet i
B Bandwidth
G
i
Link gain for packet i
a
i
Array response vector for packet i
λ
j
Arrival rate for class j
μ
j
Departure rate for class ... investi-
gate the performance for L
j
= 0, 1, and 2, respectively. The
results for large L
j
can be extended straightforwardly. It is ob-
served that in a low PER region, for example, ρ
j
≤ 0.01, with
an...
... Clearly, for closed-loop control systems, there are four
situations. They are IO integer order plant with IO controller, IO plant with FO fractional
order controller, FO plant with IO controller, ... plant with FO controller. In this
paper, we focus on using FO controllers for unstable FO systems and we propose a simple
fractional-order controller to control of fractional-order interval systems. ... systemswith interval uncertainties via fractional-order controllers has not been
considered yet. Therefore, in this paper we propose a fractional-order controller to stabilize
unstable and uncertain...
... in LPNI Systems 114
5 Design of Reference Tracking Controllers for LPNI Systems 134
6 Design of Disturbance Rejection Controllers for LPNI Systems 167
7 Performance Recovery in LPNI Systems 204
8 ... Tracking withNonlinear Actuator 31
2.2.3 Disturbance Rejection withNonlinear Actuator 36
2.2.4 Reference Tracking and Disturbance Rejection with
Nonlinear Sensor 37
2.2.5 Closed Loop LPNI Systemswith ... foundation of all methods for analysis
and design on linear systems, including the indirect Lyapunov method. For more
information see the following:
[1.61] M. Vidyasagar, NonlinearSystems Analysis,...
... time and the control signal versus time.
5. Neuroadaptive controlfor discrete-time nonlinear nonnegative uncertain
systemswith nonnegative control
As discussed in the introduction, control source ... Neuroadaptive controlfor discrete-time nonlinear nonnegative
uncertain systems
In this section, we consider the problem of characterizing neuroadaptive feedback control laws
for discrete-time nonlinear ... nonnegative systemswith nonnegative control inputs. In general, unlike linear
nonnegative systemswith asymptotically stable plant dynamics, a given set point x
e
∈ R
n
for
a discrete-time nonlinear...
... OFDMA/MISO Systems 390
10.3 Cross-Layer Scheduling Designfor DS-CDMA/MISO and
OFDMA/MISO Systems 397
10.3.1 Cross-Layer Designfor DS-CDMA/MISO Systems 398
10.3.2 Cross-Layer Designfor OFDMA/MISO Systems ... PREFACE
Adaptive
channel
encoder
Adaptive
beamforming
Transmitter with n
T
antennas and full feedback
Adaptive
channel
encoder
Adaptive
power
control
Adaptive
power
control
.
.
.
.
.
.
n
T
transmit
antennas
m ... Designfor MIMO Channels with
Imperfect CSIR 207
5.4 Summary 211
Chapter 6 Cross-Layer Scheduling for Multiuser Systems
with Multiple Antennas 215
6.1 Overview 215
6.2 Multiuser System Performance...