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CDC
2009
IEEE
139views Control Systems» more  CDC 2009»
14 years 2 months ago
Input-to-state dynamical stability of interconnected systems
Abstract— We consider networks of input-to-state dynamically stable (ISDS) systems and provide a small gain condition under which the entire network is again ISDS. A Lyapunov for...
Sergey Dashkovskiy, Lars Naujok
IJON
2002
154views more  IJON 2002»
13 years 9 months ago
Nonlinear model predictive control of a cutting process
Nonlinear model predictive control (MPC) of a simulated chaotic cutting process is presented. The nonlinear MPC combines a neural-network model and a genetic-algorithm-based optim...
Primoz Potocnik, Igor Grabec
ENGL
2008
153views more  ENGL 2008»
13 years 9 months ago
Neural Network NARMA Control of a Gyroscopic Inverted Pendulum
The objective herein is to demonstrate the feasibility of a real-time digital control of an inverted pendulum for modeling and control, with emphasis on nonlinear auto regressive m...
F. Chetouane, S. Darenfed
CDC
2008
IEEE
109views Control Systems» more  CDC 2008»
14 years 4 months ago
LQG control over lossy TCP-like networks with probabilistic packet acknowledgements
Abstract— This paper is concerned with control applications over lossy data networks. Sensor data is transmitted to an estimation-control unit over a network, and control command...
Emanuele Garone, Bruno Sinopoli, Alessandro Casavo...
ISNN
2004
Springer
14 years 3 months ago
Robust Adaptive Control Using Neural Networks and Projection
Abstract. By using differential neural networks, we present a novel robust adaptive controller for a class of unknown nonlinear systems. First, dead-zone and projection techniques...
Xiaoou Li, Wen Yu