Abstract: In this work, a dynamic event-triggered optimized backstepping control approach based on neural networks is proposed to address communication limitations in strict-feedback nonlinear systems ...

Abstract: This paper proposes a supervisory semiactive nonlinear control of a building structure equipped with magnetorheological dampers. First, three sets of multi-input-single-output (MISO) linear ...

Dr. Robinett specializes in nonlinear control and optimal system design of energy, robotics, and aerospace systems. Of particular interest in the energy arena is the distributed, decentralized ...

Learn to apply control systems in automotive, energy, aerospace, robotics, and manufacturing sectors. Apply feedback control laws to stabilize systems and achieve performance goals. Control systems ...