17 citations · 19 across the 5 of their papers we have counts for
5 papers
Data-Driven Probabilistic Finite -Gain Stabilization of Stochastic Linear Systems
Yitao Yan, Shuangyu Han, Jie Bao +1
In process operations, it is desirable to manage the sensitivity of the system output against external disturbance in the form of finite -gain stabilization. This ma…
Behavioral Systems Theory Meets Machine Learning: Control-Aware Learning of the Intrinsic Behavior from Big Data
Yitao Yan, Yu Tong, Jie Bao +1
The abundance of process operating data in modern industries, along with the rapid advancement of learning techniques, has led to a paradigm shift towards data-centric analysis and…
The Intrinsic State Variable in Fundamental Lemma and Its Use in Stability Design for Data-based Control
Yitao Yan, Jie Bao, Biao Huang
In the data-based setting, analysis and control design of dynamical systems using measured data are typically based on overlapping trajectory segments of the input and output varia…
Distributed Data-driven Predictive Control via Dissipative Behavior Synthesis
Yitao Yan, Jie Bao, Biao Huang
This paper presents a distributed data-driven predictive control (DDPC) approach using the behavioral framework. It aims to design a network of controllers for an interconnected sy…
Behavioural Approach to Distributed Control of Interconnected Systems
Yitao Yan, Jie Bao, Biao Huang
This paper formulates a framework for the analysis and distributed control of interconnected systems from the behavioural perspective. The discussions are carried out from the view…