A. Weinreb

Information Systems Laboratories (United States), Stanford University

Papers

Total Citations

105

H-Index

About

A. Weinreb is a control systems researcher whose work in the mid-1980s made meaningful contributions to the field of optimal control theory and robotics. Weinreb's most significant achievement is the development of a novel numerical algorithm for solving optimal control problems in systems subject to hard control bounds — constraints that limit the permissible range of control inputs. By extending the classical gradient method through the introduction of an Adjustable Control-Variation Weight (ACW), Weinreb provided a more robust and practical computational framework for engineers tackling constrained optimization problems. This foundational work, published in 1985, has accumulated over 80 citations, reflecting its enduring relevance to the control engineering community. Complementing this theoretical contribution, Weinreb also applied optimal control principles to robotics, specifically investigating minimum-time control strategies for a two-link robot arm — a canonical problem that bridges abstract control theory and real-world mechanical systems. Together, these works demonstrate Weinreb's ability to advance both the mathematical foundations of optimal control and its practical applications in automation and robotics, leaving a focused but lasting mark on the discipline during a formative period for computational control methods.