Publications
] .
2016. Observer Design for Robotic Systems via Takagi-Sugeno Models and Linear Matrix Inequalities. Handling Uncertainty and Networked Structure in Robot Control.
.
2016. Online Learning for Optimistic Planning. Engineering Applications of Artificial Intelligence. 55:60–72.
.
2016. Receding-Horizon Control for Max-Plus Linear Systems with Discrete Actions Using Optimistic Planning. Proceedings 13th International Workshop on Discrete Event Systems (WODES-16). :398–403.
.
2016. Vision-Based Control of a Quadrotor for an Object Inspection Scenario. Proceedings 2016 International Conference on Unmanned Aircraft Systems (ICUAS-16). :849–857.
.
2016. Vision-Based Quadcopter Navigation in Structured Environments. Handling Uncertainty and Structure in Robot Control. :265–290.
.
2016. Vision-Based Quadcopter Navigation in Structured Environments. Handling Uncertainty and Structure in Robot Control. :265–290.
.
2017. Decoupled-Dynamics Distributed Control for Strings of Nonlinear Autonomous Agents. Proceedings IEEE American Control Conference (ACC-17).
.
2017. Near-Optimal Control of Nonlinear Switched Systems with Non-Cooperative Switching Rules. Proceedings IEEE American Control Conference (ACC-17).
.
2017. Near-Optimal Control with Adaptive Receding Horizon for Discrete-Time Piecewise Affine Systems. Proceedings 20th IFAC World Congress (IFAC'17).
.
2017. Optimistic Planning with an Adaptive Number of Action Switches for Near-Optimal Nonlinear Control. Engineering Applications of Artificial Intelligence.
.
2017. Planning for optimal control and performance certification in nonlinear systems with controlled or uncontrolled switches. Automatica. 78:297–308.
.
2017. Stability analysis of discrete-time infinite-horizon optimal control with discounted cost. IEEE Transactions on Automatic Control. 62:2736–2749.
.
2017. Unknown input observer in descriptor form via LMIs for power-assisted wheelchairs. Proceedings 36th Chinese Control Conference (CCC'17).
.
2018. Continuous-action planning for discounted infinite-horizon nonlinear optimal control with Lipschitz values. Automatica. 92:100–108.
.
2018. Fall monitoring and detection for at-risk persons using a UAV. Proceedings IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control (CESCIT-18). :199–204.
.
2018. Observer-Based Assistive Control Design Under Time-Varying Sampling for Power-Assisted Wheelchairs. Proceedings IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control (CESCIT-18). :151–156.
.
2018. Optimistic planning with an adaptive number of action switches for near-optimal nonlinear control. Engineering Applications of Artificial Intelligence. 67:355–367.
.
2018. Reinforcement Learning for Control: Performance, Stability, and Deep Approximators. Annual Reviews in Control.
.
2018. Reinforcement Learning for Energy Optimization Under Human Fatigue Constraints of Power-Assisted Wheelchairs. Proceedings 2018 Annual American Control Conference ({ACC-18}). :4117–4122.
.
2018. Space-time budget allocation for marketing over social networks. Proceedings IFAC Conference on Analysis and Design of Hybrid Systems (ADHS-18). :211–216.
.
2018. Stability analysis of discrete-time finite-horizon discounted optimal control. Proceedings 57th IEEE Conference on Decision and Control (CDC-18).
.
2019. Data-Efficient Reinforcement Learning for Energy Optimization of Power-Assisted Wheelchairs. IEEE Transactions on Industrial Electronics. 66:97340–97344.
.
2019. Hardware and control design of a ball balancing robot. 22nd IEEE International Symposium on Design and Diagnostics of Electronic Circuits & Systems ({DDECS-19}). :1–6.
.
2019. Learning-based control for a communicating mobile robot under unknown rates. Proceedings 2019 Annual American Control Conference ({ACC-19}). :267–272.
.
2019. Near-optimal control of nonlinear systems with simultaneous controlled and random switches. Proceedings 5th IFAC Conference on Intelligent Control and Automation Sciences ({ICONS-19}). :268–273.