30 citations · 155 across the 15 of their papers we have counts for
15 papers
Frequency Domain Identifiability and Sloppiness of Descriptor Systems with an LFT Structure
Tong Zhou
Identifiability and sloppiness are investigated in this paper for the parameters of a descriptor system based on its frequency response samples. Two metrics are suggested respectiv…
Global Structure Identifiability and Reconstructibility of an NDS with Descriptor Subsystems
Tong Zhou, Kailin Yin
This paper investigates requirements on a networked dynamic system (NDS) such that its subsystem interactions can be solely determined from experiment data or reconstructed from it…
Structure Identifiability of an NDS with LFT Parametrized Subsystems
Tong Zhou
Requirements on subsystems have been made clear in this paper for a linear time invariant (LTI) networked dynamic system (NDS), under which subsystem interconnections can be estima…
Constructibility of a Causal/Impulse Free NDS Using Descriptor Form Subsystems
Tong Zhou
Requirements are investigated in this paper for each descriptor form subsystem, with which a causal/impulse free networked dynamic system (NDS) can be constructed. For this purpose…
Regularity/Controllability/Observability of an NDS with Descriptor Form Subsystems and Generalized LFTs
Tong Zhou
This paper investigates regularity, controllability and observability for a networked dynamic system (NDS) with its subsystems being described in a descriptor form and system matri…
Affine Dependence of Network Controllability/Observability on Its Subsystem Parameters and Connections
Tong Zhou, Yuyu Zhou
This paper investigates observability/controllability of a networked dynamic system (NDS) in which system matrices of its subsystems are expressed through linear fractional transfo…
Structural Controllability of a Networked Dynamic System with LFT Parameterized Subsystems
Yuan Zhang, Tong Zhou
This paper studies structural controllability for a networked dynamic system (NDS), in which each subsystem may have different dynamics, and unknown parameters may exist both in su…
Input Matrix Construction and Approximation Using a Graphic Approach
Yuan Zhang, Tong Zhou
Given a state transition matrix (STM), we reinvestigate the problem of constructing the sparest input matrix with a fixed number of inputs to guarantee controllability. We give a n…
Minimal Structural Perturbations for Network Controllability: Complexity Analysis
Yuan Zhang, Tong Zhou
Link (edge) addition/deletion or sensor/actuator failures are common structural perturbations for real network systems. This paper is related to the computation complexity of minim…
On the Equivalence among Three Controllability Problems for a Networked System
Tong Zhou
A new proof is given for the mathematical equivalence among three -sparse controllability problems of a networked system, which plays key roles in Olshevsky,2014, in the establi…
Minimal Inputs/Outputs for Subsystems in a Networked System
Tong Zhou
Minimal input/output selection is investigated in this paper for each subsystem of a networked system. Some novel sufficient conditions are derived respectively for the controllabi…
Minimal Inputs/Outputs for a Networked System
Tong Zhou
This paper investigates the minimal number of inputs/outputs required to guarantees the controllability/observability of a system, under the condition that its state transition mat…
On the Controllability and Observability of Networked Dynamic Systems
Tong Zhou
Some necessary and sufficient conditions are obtained for the controllability and observability of a networked system with linear time invariant (LTI) dynamics. The topology of thi…
Asymptotic Behavior of the Pseudo-Covariance Matrix of a Robust State Estimator with Intermittent Measurements
Tong Zhou
Ergodic properties and asymptotic stationarity are investigated in this paper for the pseudo-covariance matrix (PCM) of a recursive state estimator which is robust against parametr…
Robust Recursive State Estimation with Random Measurements Droppings
Tong Zhou
A recursive state estimation procedure is derived for a linear time varying system with both parametric uncertainties and stochastic measurement droppings. This estimator has a sim…