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This paper is concerned with congestion control for dynamic TCP/AQM networks with random delays. A robust congestion control algorithm is presented based on the H∞ approach, and the system performance is analyzed via linear matrix inequalities (LMIs). Simulation results illustrate the effectiveness of the proposed algorithm.
This paper presents a congestion controller in Internet, which is based on a discrete-time state space model with uncertainties, time-varying state and input delays and nonlinear disturbance. The controller is designed via robust H∞ control approach. Simulation results are given to show the effectiveness of the proposed controller.
This paper considers power and rate control for wireless networks with time-varying delay. A delay-dependent robust power and rate control algorithm is presented via the H∞ control approach. Simulation result shows that the proposed algorithm has good performance.
Power control is an important research topic for code-division multiple access (CDMA) communication systems. Proper power control can increase system capacity and, especially, overcome the near-far problem effectively. Therefore, many researchers have done great works on this topic and got a lot of achievements during last decade. Adaptive control based on Least Square Algorithm is one of the commonest...
Power control is the most important system requirement for code-division multiple-access (CDMA) wireless cellular communication systems. This paper presents a robust adaptive power controller for CDMA systems with unmodeled dynamics and bounded disturbances. Modified least-squares scheme with a relative dead zone is developed to form a novel robust adaptive control algorithm, without much prior knowledge...
This paper presents a robust adaptive controller for time-varying systems with unknown dead-zone nonlinearity at the plant input. The controller is designed based on the pole assignment strategy, and it is applicable even to systems in the presence of unmodeled dynamics, bounded external disturbances and time-varying parameters. The global stability is ensured by the proposed controller.
Power control is the most important system requirement for wireless cellular communication systems. In this paper, robust adaptive power control is considered for wireless cellular communication systems with nonlinear disturbances due to communication channel noises. Modified least-squares scheme with a relative dead zone is developed to work with the control law to form a novel robust adaptive control...
A robust model predictive control algorithm is proposed for linear systems with input saturation in this paper. Polytopic uncertain systems and structured time-varying uncertain systems are respectively considered. An infinite horizon worst-case performance function is used as on-line optimization objective. Using a saturated linear feedback controller, the control action can be obtained by solving...
A constrained robust model predictive control algorithm for linear systems with polytopic uncertainty is presented in this paper. At each sample time the algorithm aims at minimizing an infinite horizon worst-case quadratic cost function. Compared with existed techniques, the proposed algorithm uses a sequence of slack inequalities to construct a tighter upper bound of robust cost function. A control...
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