By Huiping Li, Yang Shi
This e-book deals a complete, easy-to-understand evaluate of receding-horizon keep watch over for nonlinear networks. It provides novel common techniques which could at the same time deal with normal nonlinear dynamics, procedure constraints, and disturbances coming up in networked and large-scale platforms and which might be broadly utilized. those receding-horizon-control-based ideas can in achieving sub-optimal keep an eye on functionality whereas making sure closed-loop balance: a function beautiful to engineers.
The authors deal with the issues of networked and allotted keep watch over step by step, steadily expanding the extent of problem offered. The booklet first introduces the state-feedback keep watch over difficulties of nonlinear networked platforms after which reviews output suggestions regulate difficulties. For large-scale nonlinear platforms, disturbance is taken into account first, then conversation hold up individually, and finally the simultaneous mix of delays and disturbances. each one bankruptcy of this easy-to-follow booklet not just proposes and analyzes novel keep watch over algorithms and/or concepts, but additionally carefully develops provably right layout stipulations. It additionally offers concise, illustrative examples to illustrate the implementation method, making it priceless either for tutorial researchers and engineering practitioners.
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Additional resources for Robust Receding Horizon Control for Networked and Distributed Nonlinear Systems
This chapter will design a RHC-based control strategy to handle the communication delays, packet dropouts, and the disturbances. It is well known that the min-max RHC [13, 21] features the following: (1) It is capable of incorporating the external disturbance into the optimization problem, and (2) the designed optimal control law is robust against the worst disturbance. , receding horizon open-loop RHC (RHORHC). In this chapter, the min-max RHC scheme for the constrained nonlinear NCSs with two-channel packet dropouts and time delays based on the UDP-like protocol is studied.
Networked predictive control of systems with random network delays in both forward and feedback channels. IEEE Trans. Ind. Electron. 54(3), 1282–1297 (2007) 11. : Robust model predictive control for nonlinear discrete-time systems. Int. J. Robust Nonlinear Control 13(4), 229–246 (2003) 12. : Regional input-to-state stability for nonlinear model predictive control. IEEE Trans. Autom. Control 51(9), 1548–1553 (2006) 13. : Constrained model predictive control: stability and optimality. Automatica 36(6), 789–814 (2000) 14.
This chapter will consider the RHC-based control problem for a class of nonlinear NCSs, where the control input constraints are considered, and both the C-A and S-C packet dropouts are allowed. The network is assumed to work in an Ethernet-like network environment. In the designed control strategy, the control packets including a control sequence are first designed by the RHC strategy. Using this control packets, a novel compensation strategy including control selection and transmission strategy is then designed.