Search Results for author:
Found 17 papers, 2 papers with code
Stability analysis of distributed Kalman filtering algorithm for stochastic regression model
In this paper, a distributed Kalman filtering (DKF) algorithm is proposed based on a diffusion strategy, which is used to track an unknown signal process in sensor networks cooperatively.
Convergence Analysis of Weighted-Median Opinion Dynamics with Prejudice
The Friedkin-Johnsen (FJ) model introduces prejudice into the opinion evolution and has been successfully validated in many practical scenarios; however, due to its weighted average mechanism, only one prejudiced agent can always guide all unprejudiced agents synchronizing to its prejudice under the connected influence network, which may not be in line with some social realities.
How do financial variables impact public debt growth in China? An empirical study based on Markov regime-switching model
On the one hand, an increase in the growth rate of the financial variables helps to moderate the growth rate of public debt, whereas the effects differ between the two regimes.
Characterizing Public Debt Cycles: Don't Ignore the Impact of Financial Cycles
The results indicate that public debt expansions are larger than their contractions in duration and amplitude, aligning with the "deficit bias hypothesis" and being more pronounced in EMs than in AEs.
Global Convergence of Online Identification for Mixed Linear Regression
Mixed linear regression (MLR) is a powerful model for characterizing nonlinear relationships by utilizing a mixture of linear regression sub-models.
Dual band wireless transmission over 75-150GHz millimeter wave carriers using frequency-locked laser pairs
We generate and transmit 75-GHz-bandwidth OFDM signals over the air using three mutually frequency-locked lasers, achieving minimal frequency gap between the wireless W and D bands using optical-assisted approaches, resulting in 173. 5 Gb/s detected capacity.
Controllability of networked multiagent systems based on linearized Turing's model
Under mild conditions on the parameters of the linearized Turing's model, we prove the equivalence between controllability of the linearized Turing's model and controllability of a Laplace dynamic system with agents of first order dynamics.
Stability of FFLS-based diffusion adaptive filter under a cooperative excitation condition
In this paper, we consider the distributed filtering problem over sensor networks such that all sensors cooperatively track unknown time-varying parameters by using local information.
Distributed Least Squares Algorithm for Continuous-time Stochastic Systems Under Cooperative Excitation Condition
In this paper, we study the distributed adaptive estimation problem of continuous-time stochastic dynamic systems over sensor networks where each agent can only communicate with its local neighbors.
Steady state behavior of the free recall dynamics of working memory
Finally, we give a sufficient condition under which this model has a globally asymptotically stable equilibrium with synchronized minicolumn states in each hypercolumn, which implies that in this case recalling is impossible.
Distributed Sparse Identification for Stochastic Dynamic Systems under Cooperative Non-Persistent Excitation Condition
A distributed sparse least squares algorithm is proposed by minimizing a local information criterion formulated as a linear combination of accumulative local estimation error and L_1-regularization term.
Convergence of the Distributed SG Algorithm Under Cooperative Excitation Condition
In this paper, a distributed stochastic gradient (SG) algorithm is proposed where the estimators are aimed to collectively estimate an unknown time-invariant parameter from a set of noisy measurements obtained by distributed sensors.
Distributed order estimation of ARX model under cooperative excitation condition
The simultaneous estimation for both the system orders and parameters brings challenges for the theoretical analysis.
Experimental Analysis on Variations and Accuracy of Crosstalk in Trench-Assisted Multi-core Fibers
Space division multiplexing using multi-core fiber (MCF) is a promising solution to cope with the capacity crunch in standard single-mode fiber based optical communication systems.
Dynamic Partial Removal: A Neural Network Heuristic for Large Neighborhood Search
LNS consists of a destroy operator and a repair operator that specify a way to carry out the neighborhood search to solve the Combinatorial Optimization problems.
Learn to Design the Heuristics for Vehicle Routing Problem
This paper presents an approach to learn the local-search heuristics that iteratively improves the solution of Vehicle Routing Problem (VRP).
Learning-based Quantum Robust Control: Algorithm, Applications and Experiments
Numerical results are presented to demonstrate the excellent performance of the improved machine learning algorithm for these two classes of quantum robust control problems.
