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IJCNN
2008
IEEE
15 years 6 months ago
Robust adaptive control via neural linearization and four types of compensation
— In this paper, we propose a new type of neural adaptive control via dynamic neural networks. For a class of unknown nonlinear systems, a neural identifierFbased feedback linea...
Wen Yu, Xiaoou Li
HYBRID
2011
Springer
13 years 11 months ago
Reputation-based networked control with data-corrupting channels
We examine the problem of reliable networked control when the communication channel between the controller and the actuator periodically drops packets and is faulty i.e., corrupts...
Shreyas Sundaram, Jian Chang, Krishna K. Venkatasu...
CDC
2009
IEEE
133views Control Systems» more  CDC 2009»
15 years 4 months ago
A multiple-derivative and multiple-delay paradigm for decentralized controller design: uniform-rank systems
This article contributes to our major study of decentralized controller design using a multiple-derivative and multiple-delay paradigm for control. In this installment, we pursue ...
Yan Wan, Sandip Roy, Ali Saberi, Anton A. Stoorvog...
SIAMCO
2010
201views more  SIAMCO 2010»
14 years 6 months ago
Analysis of Unconstrained Nonlinear MPC Schemes with Time Varying Control Horizon
For discrete time nonlinear systems satisfying an exponential or finite time controllability assumption, we present an analytical formula for a suboptimality estimate for model pre...
Lars Grüne, Jürgen Pannek, Martin Seehaf...
CDC
2009
IEEE
148views Control Systems» more  CDC 2009»
15 years 4 months ago
A prediction based control scheme for networked systems with delays and packet dropouts
— We present a networked control scheme which uses a model based prediction and time-stamps in order to compensate for delays and packet dropouts in the transmission between sens...
Lars Grüne, Jürgen Pannek, Karl Worthman...