activity
20022026
most citedFinite Horizon Robustness Analysis of LTV Systems Using Integral Quadratic Constraints

59 citations · 326 across the 66 of their papers we have counts for

collaborators
Showing 2019Show all

11 papers · 1 filter

math.OC2019★ 3 cited

Escaping spurious local minimum trajectories in online time-varying nonconvex optimization

Yuhao Ding, Javad Lavaei, Murat Arcak

A major limitation of online algorithms that track the optimizers of time-varying nonconvex optimization problems is that they focus on a specific local minimum trajectory, which m…

eess.SY2019★ 13 cited

Continuous and discrete abstractions for planning, applied to ship docking

Pierre-Jean Meyer, He Yin, Astrid H. Brodtkorb +2

We propose a hierarchical control framework for the synthesis of correct-by-construction controllers for nonlinear control-affine systems with respect to reach-avoid-stay specifica…

eess.SY2019★ 4 cited

Interval Reachability Analysis using Second-Order Sensitivity

Pierre-Jean Meyer, Murat Arcak

We propose a new approach to compute an interval over-approximation of the finite time reachable set for a large class of nonlinear systems. This approach relies on the notions of…

eess.SY2019

Data-Driven Reachable Set Computation using Adaptive Gaussian Process Classification and Monte Carlo Methods

Alex Devonport, Murat Arcak

We present two data-driven methods for estimating reachable sets with probabilistic guarantees. Both methods make use of a probabilistic formulation allowing for a formal definitio…

eess.SY2019★ 7 cited

Optimization Based Planner Tracker Design for Safety Guarantees

He Yin, Monimoy Bujarbaruah, Murat Arcak +1

We present a safe-by-design approach to path planning and control for nonlinear systems. The planner uses a low fidelity model of the plant to compute reference trajectories by sol…

math.OC2019★ 5 cited

Continuous Abstraction of Nonlinear Systems using Sum-of-Squares Programming

Stanley W. Smith, He Yin, Murat Arcak

We present a control design procedure for nonlinear control systems in which we represent a potentially high dimensional system with a low dimensional continuous-state abstraction.…