386 citations · 787 across the 6 of their papers we have counts for
6 papers · 1 filter
Learning Low-Complexity Autoregressive Models via Proximal Alternating Minimization
Fu Lin, Jie Chen
We consider the estimation of the state transition matrix in vector autoregressive models, when time sequence data is limited but nonsequence steady-state data is abundant. To leve…
Performance of leader-follower multi-agent systems in directed networks
Fu Lin
We consider leader-follower multi-agent systems in which the leader executes the desired trajectory and the followers implement the consensus algorithm subject to stochastic distur…
Algorithms for leader selection in stochastically forced consensus networks
Fu Lin, Makan Fardad, Mihailo R. Jovanović
We are interested in assigning a pre-specified number of nodes as leaders in order to minimize the mean-square deviation from consensus in stochastically forced networks. This prob…
Design of optimal sparse interconnection graphs for synchronization of oscillator networks
Makan Fardad, Fu Lin, Mihailo R. Jovanović
We study the optimal design of a conductance network as a means for synchronizing a given set of oscillators. Synchronization is achieved when all oscillator voltages reach consens…
Optimal Control of Vehicular Formations with Nearest Neighbor Interactions
Fu Lin, Makan Fardad, Mihailo R. Jovanović
We consider the design of optimal localized feedback gains for one-dimensional formations in which vehicles only use information from their immediate neighbors. The control objecti…
Design of Optimal Sparse Feedback Gains via the Alternating Direction Method of Multipliers
Fu Lin, Makan Fardad, Mihailo R. Jovanović
We design sparse and block sparse feedback gains that minimize the variance amplification (i.e., the norm) of distributed systems. Our approach consists of two steps. First,…