Robust model predictive control for nonlinear parameter varying systems without computational delay
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.5235
Abstract: This article proposes a one‐step ahead robust model predictive control (MPC) for discrete‐time Lipschitz nonlinear parameter varying (NLPV) systems subject to disturbances. Within the proposed design framework, the optimization that generates the MPC policy to… read more here.
Keywords: model predictive; predictive control; robust model; parameter varying ... See more keywords
Robust model predictive control for stratospheric airships using LPV design
Sign Up to like & getrecommendations! Published in 2018 at "Control Engineering Practice"
DOI: 10.1016/j.conengprac.2018.09.007
Abstract: Abstract Wind and time delays are two major factors that affect the stability and control for an unmanned stratospheric airship. A Robust Model Predictive Control (RMPC) approach is proposed to track desired trajectory for linear… read more here.
Keywords: model predictive; control; predictive control; robust model ... See more keywords
Learning-Based Robust Model Predictive Control with State-Dependent Uncertainty
Sign Up to like & getrecommendations! Published in 2018 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2018.11.052
Abstract: Abstract A robust model predictive control (RMPC) approach for linear systems with bounded state-dependent uncertainties is proposed. Such uncertainties can arise from unmodeled non-linearities or external disturbances, for example. By explicitly considering the state dependency… read more here.
Keywords: state; uncertainty; state dependent; model ... See more keywords
Design and experimental validation of a robust model predictive control for the optimal trajectory tracking of a small-scale autonomous bulldozer
Sign Up to like & getrecommendations! Published in 2022 at "Robotics and Autonomous Systems"
DOI: 10.1016/j.robot.2021.103903
Abstract: Abstract Trajectory tracking of an unmanned ground vehicle (UGV) is essential due to its extensive construction, agriculture, and military applications. In this paper, we propose an efficient, robust model predictive control (RMPC) for the trajectory… read more here.
Keywords: model predictive; control; robust model; trajectory tracking ... See more keywords
The robust model predictive control based on mixed H2/H∞ approach with separated performance formulations and its ISpS analysis
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Control"
DOI: 10.1080/00207179.2016.1263875
Abstract: ABSTRACT In practical applications, systems are always influenced by parameter uncertainties and external disturbance. Both the H2 performance and the H∞ performance are important for the real applications. For a constrained system, the previous designs… read more here.
Keywords: model predictive; control; performance; predictive control ... See more keywords
Robust model predictive control for Markovian jump systems under Round-Robin protocol
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Control"
DOI: 10.1080/00207179.2020.1798020
Abstract: In this paper, a robust model predictive control problem is investigated for a class of Markovian jump systems with polytopic uncertainties. The Round-Robin protocol is utilised to schedule data tr... read more here.
Keywords: model predictive; markovian jump; control; predictive control ... See more keywords
Efficient algorithms for online tracking of set points in robust model predictive control
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Systems Science"
DOI: 10.1080/00207721.2017.1280551
Abstract: ABSTRACT This paper presents some computationally efficient algorithms for online tracking of set points in robust model predictive control context subject to state and input constraints. The nonlinear systems are represented by a linear model… read more here.
Keywords: model predictive; efficient algorithms; control; model ... See more keywords
Synthesis of adaptive gain robust model-following/tracking controllers for uncertain systems with multiple unknown dead-zone inputs via piecewise Lyapunov functions
Sign Up to like & getrecommendations! Published in 2023 at "International Journal of Systems Science"
DOI: 10.1080/00207721.2023.2210135
Abstract: ABSTRACT This paper considers a design problem of adaptive gain robust model-following/tracking controllers for a class of uncertain systems with multiple unknown dead-zone inputs via piecewise Lyapunov functions. The parameters for dead-zone characteristics are assumed… read more here.
Keywords: robust model; model following; dead zone; gain robust ... See more keywords
A More Robust Model to Answer Noisy Questions in KBQA
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3252608
Abstract: In practical applications, the raw input to a Knowledge Based Question Answering (KBQA) system may vary in forms, expressions, sources, etc. As a result, the actual input to the system may contain various errors caused… read more here.
Keywords: robust model; various noisy; robustness kbqa; kbqa model ... See more keywords
Recursively Feasible Data-Driven Distributionally Robust Model Predictive Control With Additive Disturbances
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2022.3199940
Abstract: In this letter we propose a data-driven distributionally robust Model Predictive Control framework for constrained stochastic systems with unbounded additive disturbances. Recursive feasibility is ensured by optimizing over a linearly interpolated initial state constraint in… read more here.
Keywords: robust model; driven distributionally; distributionally robust; control ... See more keywords
Computationally Efficient Robust Model Predictive Control for Uncertain System Using Causal State-Feedback Parameterization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2022.3200956
Abstract: This article investigates the problem of robust model predictive control (RMPC) of linear-time-invariant discrete-time systems subject to structured uncertainty and bounded disturbances. Typically, the constrained RMPC problem with state-feedback parameterizations is nonlinear (and nonconvex) with… read more here.
Keywords: robust model; state; control; state feedback ... See more keywords