Learn how to use MATLAB to design and test robust process control strategies for dynamic systems. Discover how to model, simulate, analyze, optimize, and validate your control systems.

1 Paul M. Rady Department of Mechanical Engineering, University of Colorado Boulder, Boulder, CO, United States 2 Artimus Robotics Inc., Boulder, CO, United States This article introduces a ...

robotics matlab robust-optimization performance-analysis underactuatedrobotics robustness robust-control h-infinity underactuated stability-analysis h-2 h-2-h-infinity mu-synthesis uarm-2 ...

According to movement balancing and position control problem of Self-Balancing Two-Wheeled Robot, a method based on H∞ Robust Control was proposed. We apply it onto the MIMO nonlinear model of robot, ...

In this paper, an adaptive robust controller for ACICE exoskeleton robot is proposed. The steps followed and the results obtained in the design of an exoskeleton leg controller are presented. Then, ...

OpenCossan represents the core of COSSAN software. All the algorithms and methods have been coded in a matlab toolbox allowing numerical analysis, reliability analysis, simulation, sensitivity, ...

College of Power Engineering, Naval University of Engineering, Wuhan, China Introduction: Since tracked mobile robot is a typical non-linear system, it has been a challenge to achieve the trajectory ...

Robust.AI, a leader in AI-driven warehouse automation, announced upgrades to its flagship Carter™ platform, transforming it into a multi-functional solution ...

Delve into the critical role of robust components enabling the next generation of robotics and assistive technologies across industries, such as manufacturing, healthcare and AgTech.