Adaptive Control of an Integrator with Unknown Dead-Time

Sammanfattning: An adaptive control system is proposed for an unknown integrator process with unknown dead-time. The process dead-time and gain are estimated simultaneously using an extended regression model and recursive least-squares estimation. The parameter estimates are used to scale the actuator signal, transforming the unknown process into a known reference process, while the dead-time estimate provides deadtime compensation via state prediction.