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Debraj Chakraborty

Publications and source records attributed to Debraj Chakraborty.

20 records · Page 2Linked to original sources

Stability and Equilibrium Analysis of Laneless Traffic with Local Control Laws

In this paper, a new model for traffic on roads with multiple lanes is developed, where the vehicles do not adhere to a lane discipline. Assuming identical vehicles, the dynamics is split along two independent directions: the Y-axis representing the direction of motion and the X-axis representing the lateral or the direction perpendicular to the direction of motion. Different influence graphs are used to model the interaction between the vehicles in these two directions. The instantaneous accelerations of each car, in both X and Y directions, are functions of the measurements from the neighbouring cars according to these influence graphs. The stability and equilibrium spacings of the car formation is analyzed for usual traffic situations such as steady flow, obstacles, lane changing and rogue drivers arbitrarily changing positions inside the formation. Conditions are derived under which the formation maintains stability and the desired intercar spacing for each of these traffic events. Simulations for some of these scenarios are included.

eess.SY↗

Formation control with pole placement for multi-agent systems

The problem of distributed controller synthesis for formation control of multi-agent systems is considered. The agents (single integrators) communicate over a communication graph and a decentralized linear feedback structure is assumed. One of the agents is designated as the leader. If the communication graph contains a directed spanning tree with the leader node as the root, then it is possible to place the poles of the ensemble system with purely local feedback controller gains. Given a desired formation, first one of the poles is placed at the origin. Then it is shown that the inter-agent weights can be independently adjusted to assign an eigenvector corresponding to the formation positions, to the zero eigenvalue. Then, only the leader input is enough to bring the agents to the desired formation and keep it there with no further inputs. Moreover, given a formation, the computation of the inter-agent weights that encode the formation information, can be calculated in a decentralized fashion using only local information.

math.OC↗