Dr Morgan Jones

Journal articles

• Jones M & Peet MM (2023) A converse sum of squares lyapunov function for outer approximation of minimal attractor sets of nonlinear systems. Journal of Computational Dynamics, 10(1), 48-74.
• Fernandes LL, Jones M, Alberto L, Peet M & Dotta D (2022) Combining Trajectory Data with Analytical Lyapunov Functions for Improved Region of Attraction Estimation. IEEE Control Systems Letters, 1-1.
• Jones M & Peet MM (2021) A generalization of Bellman's equation with application to path planning, obstacle avoidance and invariant set estimation. Automatica, 127.
• Jones M & Peet MM (2021) Extensions of the dynamic programming framework: Battery scheduling, demand charges, and renewable integration. IEEE Transactions on Automatic Control, 66(4), 1602-1617.

Conference proceedings papers

• Jones M & Peet MM (2023) Existence of Partially Quadratic Lyapunov Functions That Can Certify The Local Asymptotic Stability of Nonlinear Systems. 2023 American Control Conference (ACC), 31 May 2023 - 2 June 2023.
• Huang R, Jones M & Lin X (2023) Excitation Optimization for Estimating Battery Health Parameters using Reinforcement Learning considering Information Content and Bias. 2023 American Control Conference (ACC), 31 May 2023 - 2 June 2023.
• Jones M & Peet MM (2021) A Converse Sum of Squares Lyapunov Function for Outer Approximation of Minimal Attractor Sets of Nonlinear Systems
• Jones M & Peet MM (2021) Converse Lyapunov Functions and Converging Inner Approximations to Maximal Regions of Attraction of Nonlinear Systems. Proceedings of the IEEE Conference on Decision and Control, Vol. 2021-December (pp 5312-5319)
• Jones M & Peet MM (2019) Relaxing the Hamilton Jacobi Bellman Equation to Construct Inner and Outer Bounds on Reachable Sets. Proceedings of the IEEE Conference on Decision and Control, Vol. 2019-December (pp 2397-2404)
• Jones M & Peet MM (2019) Using SOS and sublevel set volume minimization for estimation of forward reachable sets. IFAC-PapersOnLine, Vol. 52(16) (pp 484-489)
• Jones M & Peet MM (2019) Using SOS for optimal semialgebraic representation of sets: Finding minimal representations of limit cycles, chaotic attractors and unions. Proceedings of the American Control Conference, Vol. 2019-July (pp 2084-2091)
• Jones M & Peet MM (2018) Solving dynamic programming with supremum terms in the objective and application to optimal battery scheduling for electricity consumers subject to demand charges. 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017, Vol. 2018-January (pp 1323-1329)
• Jones M, Mohammadi H & Peet MM (2018) Estimating the region of attraction using polynomial optimization: A converse Lyapunov result. 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017, Vol. 2018-January (pp 1796-1802)

Preprints

• Jones M, Nie Y & Peet MM (2024) Model Predictive Bang-Bang Controller Synthesis via Approximate Value Functions.
• Jones M (2023) Learning Polynomial Representations of Physical Objects with Application to Certifying Correct Packing Configurations.
• Jones M (2023) Sublevel Set Approximation in The Hausdorff and Volume Metric with Application to Path Planning and Obstacle Avoidance.
• Jones M & Peet MM (2022) Existence of Partially Quadratic Lyapunov Functions That Can Certify The Local Asymptotic Stability of Nonlinear Systems.
• Lugnani L, Jones M, Alberto LFC, Peet M & Dotta D (2021) Combining Trajectory Data with Analytical Lyapunov Functions for Improved Region of Attraction Estimation.
• Jones M & Peet MM (2021) Converse Lyapunov Functions and Converging Inner Approximations to Maximal Regions of Attraction of Nonlinear Systems.
• Jones M & Peet MM (2020) Polynomial Approximation of Value Functions and Nonlinear Controller Design with Performance Bounds.
• Jones M & Peet M (2020) A Generalization of Bellman's Equation with Application to Path Planning, Obstacle Avoidance and Invariant Set Estimation.
• Jones M & Peet MM (2019) Relaxing The Hamilton Jacobi Bellman Equation To Construct Inner And Outer Bounds On Reachable Sets.
• Jones M & Peet MM (2019) Using SOS and Sublevel Set Volume Minimization for Estimation of Forward Reachable Sets.
• Jones M & Peet MM (2018) Extensions of the Dynamic Programming Framework: Battery Scheduling, Demand Charges, and Renewable Integration.
• Jones M & Peet MM (2018) Using SOS for Optimal Semialgebraic Representation of Sets: Finding Minimal Representations of Limit Cycles, Chaotic Attractors and Unions.
• Jones M & Peet MM (2018) A Dynamic Programming Approach to Evaluating Multivariate Gaussian Probabilities.
• Jones M & Peet MM (2017) Solving Dynamic Programming with Supremum Terms in the Objective and Application to Optimal Battery Scheduling for Electricity Consumers Subject to Demand Charges.