activity
20092018
most citedStochastic model predictive control with bounded control inputs: a vector space approach

73 citations · 167 across the 6 of their papers we have counts for

collaborators

7 papers

math.RA2018★ 11 cited

Duality between Final-Seed and Initial-Seed Mutations in Cluster Algebras

Shogo Fujiwara, Yasuaki Gyoda

We study the duality between the mutations and the initial-seed mutations in cluster algebras, where the initial-seed mutations are the transformations of rational expressions of c…

math.OC2011

On mean-square boundedness of stochastic linear systems with quantized observations

Debasish Chatterjee, Peter Hokayem, Federico Ramponi +1

We propose a procedure to design a state-quantizer with finitely many bins for a marginally stable stochastic linear system evolving in , and a bounded policy based on the re…

math.OC2010★ 4 cited

Mean-square boundedness of stochastic networked control systems with bounded control inputs

Debasish Chatterjee, Saurabh Amin, Peter Hokayem +2

We consider the problem of controlling marginally stable linear systems using bounded control inputs for networked control settings in which the communication channel between the r…

math.OC2010

Stochastic receding horizon control with output feedback and bounded control inputs

Peter Hokayem, Eugenio Cinquemani, Debasish Chatterjee +2

We provide a solution to the problem of receding horizon control for stochastic discrete-time systems with bounded control inputs and imperfect state measurements. For a suitable c…

math.OC2009★ 39 cited

Attaining mean square boundedness of a marginally stable noisy linear system with a bounded control input

Federico Ramponi, Debasish Chatterjee, Andreas Milias-Argeitis +2

We construct control policies that ensure bounded variance of a noisy marginally stable linear system in closed-loop. It is assumed that the noise sequence is a mutually independen…

math.OC2009★ 73 cited

Stochastic model predictive control with bounded control inputs: a vector space approach

Debasish Chatterjee, Peter Hokayem, John Lygeros

We design receding horizon control strategies for stochastic discrete-time linear systems with additive (possibly) unbounded disturbances, while obeying hard bounds on the control…