... stabilization for a class of uncertain nonlinear systems by means of periodically intermittent control. Several sufficient conditions of exponentialstabilization 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 ofpurposes in ... model with a predictive control algorithm was proposed for linear systemswith input constraints. Recently, incontinuous contro l techniques suc h asimpulsive control 6 and piecewise feedback control...
... H+=0,thenweconsidercj for j ≥ 2. As per the above arguments,J(0) < c0≤ c2≤ c3≤···≤ cdim H−≤ c∞and if c := cj= = cj+l for 2 ≤ j ≤ j + l ≤dim H- with l ≥ 1, then i(Kc∩ S) ≥ l +1≥ 2.Therefore, ... 2011References1. 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 differentialequations 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 achieveeven higher complexity reduction without significantperformance ... increaseddiversity.In Figures 3 and 4, the performance of MIMO systems with larger number of antennas are c ompared. Almostthe same relative performance tendency is obtained. Theperformance of the ZF-OSIC receiver ... resultsMonte Carlo simulations are performed for a wirelesssystem with multiple antennas to evaluate the perfor-mance of the proposed selection criterion. For the sakeof simplicity, we consider...
... possible for the performance of the proposedreceiver for different channels. In addition, the AWGN orthe matched filter bound and the BER performance of theproposed receiver for the CM1 channel with ... ConclusionAniterativeFDreceiverispresentedtocombatwiththedeteriorating effects of using short CP for IR UB systems. An IBI estimation and cancellation scheme that can be usedboth with an FD channel estimator and with an FD MMSEequalizer ... proposed system under parametricuncertainties suchas the synchronization errors, channel estimation errors ,and as well as the derivation of analytical performancebounds for the channel estimation...
... Q-OFDMA systems with smaller P have better BER performance; while with SNRincreasing, Q-OFDMA systemswith larger P will becomesuperior. The exact SNR point where one system starts tooutperform ... iterationsFigure 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 bechosen carefully within system constraints according to thecomplexity/performance tradeoff.4. SimulationsIn this section, we present the BER performance...
... milliseconds for TSPS and PFS, and 15 milliseconds for the b2PFS. Furthermore, the packet loss rate for each schemeis 0% for the TSPS, 1.6·10−3% for the PFS, and 1.6 · 10−4% for the b2PFS. ... packets(P(τi,p<τ)) (see [17] for more information on themeasurement procedure). The allocation algorithm followsthe one proposed in Section 3 with Pburst={10}. For thePFS and b2PFS scheduling ... using each prioritization functionis 275 milliseconds for TSPS, 535 milliseconds for PFS,and 530 milliseconds for the b2PFS. Nevertheless, for theTSPS scheduler the improvement due to the urgency...
... admis-sion control in power-controlled mobile systems, ” IEEE/ACMTransactions on Networking, vol. 5, no. 2, pp. 255–265, 1997.[2] Y. Bao and A. S. Sethi, “Performance-driven adaptive admis-sion control ... classesRiData rate for packet ipiTransmitted power for packet iB BandwidthGiLink gain for packet iaiArray response vector for packet iλjArrival rate for class jμjDeparture rate for class ... investi-gate the performance for Lj= 0, 1, and 2, respectively. Theresults for large Ljcan be extended straightforwardly. It is ob-served that in a low PER region, for example, ρj≤ 0.01, with an...
... Clearly, for closed-loop control systems, there are foursituations. They are IO integer order plant with IO controller, IO plant with FO fractionalorder controller, FO plant with IO controller, ... plant with FO controller. In thispaper, we focus on using FO controllers for unstable FO systems and we propose a simplefractional-order controller to control of fractional-order interval systems. ... systemswith interval uncertainties via fractional-order controllers has not beenconsidered yet. Therefore, in this paper we propose a fractional-order controller to stabilizeunstable and uncertain...
... in LPNI Systems 1145 Design of Reference Tracking Controllers for LPNI Systems 1346 Design of Disturbance Rejection Controllers for LPNI Systems 1677 Performance Recovery in LPNI Systems 2048 ... Tracking withNonlinear Actuator 312.2.3 Disturbance Rejection withNonlinear Actuator 362.2.4 Reference Tracking and Disturbance Rejection with Nonlinear Sensor 372.2.5 Closed Loop LPNI Systemswith ... foundation of all methods for analysisand design on linear systems, including the indirect Lyapunov method. For moreinformation 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 linearnonnegative systemswith asymptotically stable plant dynamics, a given set point xe∈ Rn for a discrete-time nonlinear...
... OFDMA/MISO Systems 39010.3 Cross-Layer Scheduling Designfor DS-CDMA/MISO andOFDMA/MISO Systems 39710.3.1 Cross-Layer Designfor DS-CDMA/MISO Systems 39810.3.2 Cross-Layer Designfor OFDMA/MISO Systems ... PREFACE Adaptive channel encoder Adaptive beamformingTransmitter with nTantennas and full feedback Adaptive channel encoder Adaptive power control Adaptive power control ......nTtransmitantennasm ... Designfor MIMO Channels with Imperfect CSIR 2075.4 Summary 211Chapter 6 Cross-Layer Scheduling for Multiuser Systems with Multiple Antennas 2156.1 Overview 2156.2 Multiuser System Performance...