most citedOutput-Feedback Nonlinear Model Predictive Control with Iterative State- and Control-Dependent Coefficients

1 citations · 1 across the 6 of their papers we have counts for

collaborators

7 papers

math.OC2026

Iterative State- and Control-Dependent Model Predictive Control: A Jacobian-Free Formulation for Constrained Nonlinear Systems

Mohammadreza Kamaldar

This paper presents an iterative model predictive control algorithm that stabilizes constrained nonlinear systems without evaluating a single plant derivative. By factoring the exa…

math.OC2026

Deterministic Non-Smooth Safety via Dual-Algebraic Control Barrier Functions

Mohammadreza Kamaldar

This paper presents a dual-algebraic framework for control barrier functions (CBFs) that guarantees deterministic execution using exclusively elementary arithmetic. We develop this…

eess.SY2026

Extracting Exact Lie Derivatives Without Backpropagation: A Dual Compiler for Neural Control Barrier Functions

Mohammadreza Kamaldar

This paper presents a dual-algebraic compiler that evaluates neural control barrier functions (CBFs) and their exact Lie derivatives using forward-mode dual-number arithmetic. Emit…

eess.SY2026

Nonlinear Moving-Horizon Estimation Using State- and Control-Dependent Models

Mohammadreza Kamaldar

This paper presents a state- and control-dependent moving-horizon estimation (SCD-MHE) algorithm for nonlinear discrete-time systems. Within this framework, a pseudo-linear represe…

eess.SY2026

Composite Adaptive Control Barrier Functions for Safety-Critical Systems with Parametric Uncertainty

Mohammadreza Kamaldar

Control barrier functions guarantee safety but require accurate system models; parametric uncertainty invalidates these guarantees. Existing robust methods maintain safety via wors…

eess.SY2023

Adaptive Output-Feedback Model Predictive Control of Hammerstein Systems with Unknown Linear Dynamics

Mohammadreza Kamaldar, Dennis S. Bernstein

This paper considers model predictive control of Hammerstein systems, where the linear dynamics are a priori unknown and the input nonlinearity is known. Predictive cost adaptive c…