Modeling and Control of Networked Control Systems with Data Dropout
Yanbo Gao
Abstract
Yanbo Gao
Abstract
This paper deals with the model and control of networked control systems with the presence of transmitted data dropout.Two approaches are presented to model the networked control systems with data dropout as stochastic systems.Sufficient conditions for the mean-square asymptotical stability of the networked control system are derived.Both state feedback and static output feedback controllers are constructed in terms of linear matrix inequalities.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
This paper deals with the model and control of networked control systems with the presence of transmitted data dropout.Two approaches are presented to model the networked control systems with data dropout as stochastic systems.Sufficient conditions for the mean-square asymptotical stability of the networked control system are derived.Both state feedback and static output feedback controllers are constructed in terms of linear matrix inequalities.
Key concepts: Dropout (neural networks), Control theory (sociology), Networked control system, Control (management), Stability (learning theory), Control system, Linear matrix inequality, Feedback control