6 papers
Distributed State Estimation for Discrete-Time Systems With Unknown Inputs: An Optimization Approach
Ruixuan Zhao, Guitao Yang, Nicola Bastianello +1
This paper proposes a novel Distributed Unknown Input Observer (DUIO) framework for state estimation in large-scale systems subject to local unknown inputs. We consider systems whe…
End-to-End Differentiable Predictive Control with Guaranteed Constraint Satisfaction and feasibility for Building Demand Response
Kaipeng Xu, Zhuo Zhi, Ruixuan Zhao +1
The high energy consumption of buildings presents a critical need for advanced control strategies like Demand Response (DR). Differentiable Predictive Control (DPC) has emerged as…
Distributed State Estimation for Discrete-time LTI Systems: the Design Trilemma and a Novel Framework
Ruixuan Zhao, Guitao Yang, James Fleming +1
With the advancement of IoT technologies and the rapid expansion of cyber-physical systems, there is increasing interest in distributed state estimation, where multiple sensors col…
Distributed Unknown Input Observer Design: A Geometric Approach
Ruixuan Zhao, Guitao Yang, Thomas Parisini +1
We present a geometric approach to designing distributed unknown input observers (DUIOs) for linear time-invariant systems, where measurements are distributed across nodes and each…
Bridging Centralized and Distributed Frameworks in Unknown Input Observer Design
Ruixuan Zhao, Guitao Yang, Peng Li +1
State estimation for linear time-invariant systems with unknown inputs is a fundamental problem in various research domains. In this article, we establish conditions for the design…
Distributed Unknown Input Observer Design with Relaxed Conditions: Theory and Application to Vehicle Platooning
Ruixuan Zhao, Guitao Yang, Thomas Parisini +1
Designing observers for linear systems with both known and unknown inputs is an important problem in several research contexts, for example, fault diagnosis and fault-tolerant cont…