Abstract: A method of estimating the oxygen storage capacity of a catalyst includes providing an engine system having an internal combustion engine and an exhaust system having a catalyst and an oxygen sensor, providing a three-way catalyst observer model having a Kalman filter and a three-way catalyst kinetic model, estimating a three-way catalyst next time step state and a modeling error, linearizing the three-way catalyst observer model, filtering the estimated three-way catalyst next time step state, and calculating a covariance.

Abstract: A method of estimating the oxygen storage capacity of a catalyst includes providing an engine system having an internal combustion engine and an exhaust system having a catalyst and an oxygen sensor, providing a three-way catalyst observer model having a Kalman filter and a three-way catalyst kinetic model, estimating a three-way catalyst next time step state and a modeling error, linearizing the three-way catalyst observer model, filtering the estimated three-way catalyst next time step state, and calculating a covariance.

Abstract: A control system to control slip of a torque converter clutch includes a clutch plant model configured to predict a value of a parameter that relates to torque converter clutch slip as a function of clutch plant model inputs comprising commanded clutch pressure and of torque from the torque generative device. The control system also includes a model predictive controller configured to receive signals that allow determination of a desired value of the parameter that relates to torque converter clutch slip and a predicted value of the parameter that relates to torque converter clutch slip, receive a signal representing reported torque of the torque generative device, identify an optimal commanded clutch pressure value that will result in an optimal value of an objective function based on the clutch plant model, and provide a command signal to an actuator effective to control commanded clutch pressure to the torque converter clutch.

Abstract: A control system to control slip of a torque converter clutch includes a clutch plant model configured to predict a value of a parameter that relates to torque converter clutch slip as a function of clutch plant model inputs comprising commanded clutch pressure and of torque from the torque generative device. The control system also includes a model predictive controller configured to receive signals that allow determination of a desired value of the parameter that relates to torque converter clutch slip and a predicted value of the parameter that relates to torque converter clutch slip, receive a signal representing reported torque of the torque generative device, identify an optimal commanded clutch pressure value that will result in an optimal value of an objective function based on the clutch plant model, and provide a command signal to an actuator effective to control commanded clutch pressure to the torque converter clutch.

Abstract: A vehicle throttle control system includes a torque control system providing a desired torque for a throttle valve. A conversion module converts the desired torque to a desired throttle area and converts the desired throttle area to a target throttle position. A selection module determines which one of multiple MPC controllers should be used based on a current position of the throttle valve. A prediction module determines future state values using a mathematical model of a throttle body. A cost module determines a first cost for a first set of MPC target throttle duty cycle values. A control module identifies optimal sets of target throttle motor duty cycle values for each of the MPC controllers. The multiple MPC controllers control operation of a throttle valve duty cycle to achieve a target throttle opening area based on a first one of the target throttle motor duty cycle values.

Abstract: A vehicle throttle control system includes a torque control system providing a desired torque for a throttle valve. A conversion module converts the desired torque to a desired throttle area and converts the desired throttle area to a target throttle position. A selection module determines which one of multiple MPC controllers should be used based on a current position of the throttle valve. A prediction module determines future state values using a mathematical model of a throttle body. A cost module determines a first cost for a first set of MPC target throttle duty cycle values. A control module identifies optimal sets of target throttle motor duty cycle values for each of the MPC controllers. The multiple MPC controllers control operation of a throttle valve duty cycle to achieve a target throttle opening area based on a first one of the target throttle motor duty cycle values.