Wanjiku A. Makumi

According to our database, Wanjiku A. Makumi authored at least 13 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Adaptive Output Feedback Control Using Lyapunov-Based Deep Recurrent Neural Networks (Lb-DRNNs).

Emily J. Griffis, Omkar Sudhir Patil, Wanjiku A. Makumi, Warren E. Dixon

IEEE Trans. Autom. Control., January, 2026

2025

Lyapunov-Based Physics-Informed Deep Neural Networks with Skew Symmetry Considerations.

Rebecca G. Hart, Wanjiku A. Makumi, Rushikesh Kamalapurkar, Warren E. Dixon

CoRR, October, 2025

Safe Output-Feedback Adaptive Optimal Control of Affine Nonlinear Systems.

Tochukwu Elijah Ogri, Muzaffar Qureshi, Zachary I. Bell, Wanjiku A. Makumi, Rushikesh Kamalapurkar

CoRR, October, 2025

Improved Dwell-times for Switched Nonlinear Systems using Memory Regression Extension.

Muzaffar Qureshi, Tochukwu Elijah Ogri, Humberto Ramos, Wanjiku A. Makumi, Zachary I. Bell, Rushikesh Kamalapurkar

CoRR, April, 2025

A Switched Adaptive Control Approach to Reduce Sensing Needs in Trajectory Tracking Problems.

Muzaffar Qureshi, Tochukwu Elijah Ogri, Humberto Ramos, Wanjiku A. Makumi, Zachary I. Bell, Rushikesh Kamalapurkar

IEEE Control. Syst. Lett., 2025

An Output Feedback Approach to Differential Graphical Games in Linear Multiagent Systems.

Tochukwu Elijah Ogri, Muzaffar Qureshi, Zachary I. Bell, Wanjiku A. Makumi, Rushikesh Kamalapurkar

IEEE Control. Syst. Lett., 2025

Lyapunov-based adaptive deep system identification for approximate dynamic programming.

Wanjiku A. Makumi, Omkar Sudhir Patil, Warren E. Dixon

Autom., 2025

2024

Approximate Optimal Indirect Control of an Unknown Agent Within a Dynamic Environment Using a Lyapunov-Based Deep Neural Network.

Jhyv N. Philor, Wanjiku A. Makumi, Zachary I. Bell, Warren E. Dixon

Proceedings of the American Control Conference, 2024

2023

Approximate Optimal Indirect Regulation of an Unknown Agent With a Lyapunov-Based Deep Neural Network.

Wanjiku A. Makumi, Zachary I. Bell, Warren E. Dixon

IEEE Control. Syst. Lett., 2023

Composite Adaptive Lyapunov-Based Deep Neural Network (Lb-DNN) Controller.

Omkar Sudhir Patil, Emily J. Griffis, Wanjiku A. Makumi, Warren E. Dixon

CoRR, 2023

2022

Real-Time Modular Deep Neural Network-Based Adaptive Control of Nonlinear Systems.

Duc M. Le, Max L. Greene, Wanjiku A. Makumi, Warren E. Dixon

IEEE Control. Syst. Lett., 2022

Control Barrier Functions for Safe Admittance Control of a Rehabilitation Cycle for DMD.

Emily J. Griffis, Wanjiku A. Makumi, Hannah M. Sweatland, Kimberly J. Stubbs, Tanja Taivassalo, Donovan J. Lott, Warren E. Dixon

Proceedings of the IEEE Conference on Control Technology and Applications, 2022

Model-Based Switched Approximate Dynamic Programming for Functional Electrical Stimulation Cycling.

Wanjiku A. Makumi, Max L. Greene, Kimberly J. Stubbs, Warren E. Dixon

Proceedings of the American Control Conference, 2022