activity
20232026
most citedAdaptive Covariance Kalman Filtering and Nonlinear Decoupling Control via Feedback Linearization for a Three-Tank Process

4 citations · 10 across the 23 of their papers we have counts for

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11 papers · 1 filter

eess.SY2026

Learning-Oriented Fault-Tolerant Control for UAVs with Time-Varying Fault Estimation

Moh Kamalul Wafi

The increasing deployment of unmanned aerial vehicles (UAVs) in safety-critical applications has created a growing demand for control strategies that remain reliable in the presenc…

eess.SY2026

From Winding-Fault Geometry to Reliability: Estimation and Prognosis of Stator Inter-Turn Faults

Bambang L. Widjiantoro, Syahrul Munir, Katherin Indriawati +1

This paper develops an integrated framework for estimation, prognosis, and reliability assessment of stator inter-turn faults in induction motors. The fault is characterized by its…

eess.SY2026

On input-output persistency and the interconnection of positive nonlinear systems

Arthut Castello B. de Oliveira, Moh K. Wafi, Eduardo D. Sontag

In this paper we study feedback interconnections of positive nonlinear SISO systems and introduce two complementary properties: persistent-input/persistent-output (PIPO) for the pl…

eess.SY2026

Distributed Adaptive Estimation of Unknown Nonlinear Systems without Input Sharing

Moh Kamalul Wafi, Milad Siami

This paper studies distributed adaptive state estimation for discrete-time nonlinear systems with unknown source dynamics over directed communication networks. Each sensing agent e…

eess.SY2026

Neural-Enhanced Micro-Kalman Filtering for Satellite Tracking: A Comparative Study

Moh Kamalul Wafi

Satellite state estimation plays a fundamental role in orbital navigation, tracking, and autonomous space operations. Accurate estimation remains challenging due to uncertainties i…

eess.SY2026

On the Comparison of Reinforcement Learning and Adaptive Control for Linear Systems under Packet Loss and Uncertainty

Moh Kamalul Wafi

This paper presents a comparative study between Adaptive Quantized Control (AQC) and Deep Deterministic Policy Gradient (DDPG) reinforcement learning for uncertain linear systems w…

math.DS2026

When is cumulative dose response monotonic? Analysis of incoherent feedforward motifs

Moh Kamalul Wafi, Arthur C. B. de Oliveira, Eduardo D. Sontag

We study the monotonicity of the cumulative dose response (cDR) for a class of incoherent feedforward motifs (IFFM) systems with linear intermediate dynamics and nonlinear output d…

eess.SY2026

Distributed Nonlinear Control of Networked Two-Wheeled Robots under Adversarial Interactions

Moh Kamalul Wafi, Ahmad Ataka, Yul Y. Nazaruddin +1

This paper studies distributed trajectory tracking for networks of nonholonomic mobile robots under adversarial information exchange. An exact global input--output feedback lineari…

eess.SY2026

Cooperative Fault-Tolerant Tracking with ISS Guarantees for Networked Systems with Sensor Faults

Moh Kamalul Wafi, Yurid E. Nugraha, Bambang L. Widjiantoro +1

This paper develops a cooperative fault-tolerant tracking framework for heterogeneous networked linear systems subject to sensor faults and external disturbances. Each unit employs…

math.OC2026

Boundedness of solutions in feedback systems with antithetic controllers

Moh Kamalul Wafi, Arthur C. B. de Oliveira, Eduardo D. Sontag

Antithetic feedback controllers have become a key experimental and theoretical tool in synthetic biology. Introduced by Khammash and collaborators about 10 years ago, they are empl…

eess.SY2026

A Passivity-Agnostic Framework for Distributed Adaptive Synchronization under Unknown Leader Dynamics

Moh Kamalul Wafi, Milad Siami

We present a passivity-agnostic framework for distributed adaptive synchronization under position-only communication, bounded disturbances, and unknown leader dynamics. By passivit…