Based on the rolling horizon optimization strategy, networked robust predictive control with medium access constraints and packet loss is studied. Firstly, considering influence of network factors such as loss, Markov jump rule Bernoulli independent identically distributed process are used to transform problem into system. According established system model stability analysis, a controller for ...

Nonlinear Predictive Control of Spacecraft John L. Crassidis F. Landis Markley Tobin C. Anthony Stephen F. Andrews Abstract A new approach for the control of a spacecraft with large angle maneuvers is presented. This new approach is based on a nonlinear predictive control scheme which determines the required torque input so that the predicted responses match the desired trajectories. This is ac...

Concept of model based predictive control (MBPC) has been heralded as one of the most significant control developments in recent ten years. Wide range of choice of model structures, prediction horizon, and optimization criteria allows the designer to easily tailor MBPC to its application in industry. The main idea of Model Predictive Control (MPC) is the prediction of the output signal at each ...

An optimal predictive control approach for the suppression of thermo-acoustic instabilities in the combustor chamber is investigated. The approach uses the combustor pressure fluctuations and fuel modulation data for building internal dynamic input-output models and designing the controller. The knowledge of the physical model of the system is not required. This data-based nature of the approac...

A Takagi-Sugeno (T-S) fuzzy model is used to express non-linear dynamic systems with time-delay in this paper, and an on-line identi® cation algorithm is presented regarding its parameters and structures. A multivariable fuzzy generalized predictive control approach is proposed based on the identi® ed fuzzy model by means of the generalized predictive control principle. The closed-loop stabilit...