Hossein Mirinejad

Vaughn College of Aeronautics and Technology

Papers

Total Citations

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About

Hossein Mirinejad is a leading researcher in control systems and optimal trajectory optimization, with a focus on addressing complex, real-world challenges in robotics and aerospace. His work centers on developing robust and efficient control strategies for nonlinear, uncertain systems. A key contribution is his 2024 study on a hybrid backstepping/nonlinear reduced-order active disturbance rejection control (NRADRC) for flexible-joint robot manipulators, which effectively handles inherent uncertainties and nonlinear dynamics—a critical advancement for high-precision robotics. This work has already garnered 23 citations, reflecting its immediate impact. Mirinejad is also recognized for pioneering a novel approach to direct trajectory optimization, combining radial basis function (RBF) interpolation with Galerkin projection. This method, detailed in his 2021 paper with 15 citations, offers a highly flexible solution for optimal control problems, particularly those involving nonsmooth dynamics or discontinuities, which are common in aerospace and autonomous systems. His research bridges theoretical rigor with practical applicability, making significant strides in both robust control and computational optimal control.