Quadratically constrained quadratic programming (QCQP) problems appear in a wide range of engineering fields, including computer science, communication engineering, and finance. A key difficulty in ...

Introduction: Path planning algorithms are challenging to implement with mobile robots in orchards due to kinematic constraints and unstructured environments with narrow and irregularly distributed ...

A next-gen solver for optimization with nonconvex objective and constraints. Unifies barrier and SQP methods in a modern and generic way, and unlocks a variety of novel methods. Competitive against ...

A collection of work using nonlinear model predictive control (NMPC) with discrete-time control Lyapunov functions (CLFs) and control barrier functions (CBFs) ...

Abstract: The paper proposes a method of peak shaving through control of EV Aggregator in industrial buildings. Peak shaving based on a heuristic algorithm which is not suitable in real field is ...

Abstract: In this paper, we present an inverse kinematics control law to control the motion of a six-legged robot intended for use in humanitarian demining. We exploit a Quadratic programming (QP) ...