Distributed stochastic model predictive control for cyber–physical systems with multiple state delays and probabilistic saturation constraints

Zhang, Langwen; Wang, Bohui; Li, Yuanlong; Tang, Yang

doi:10.1016/j.automatica.2021.109574

Cited by 21 publications

(4 citation statements)

References 25 publications

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“…Model predictive control (MPC) technique was first proposed in the 1960s and found its initial applications in the field of chemical process control [8]- [12]. For the past few years, MPC has been widely adopted in diverse fields [13]- [17], e.g., mechanical control, power systems, trans-portation and aviation.…”

Section: Introductionmentioning

confidence: 99%

Lyapunov Based Nonlinear Model Predictive Control of Wind Power Generation System With External Disturbances

Luo,

Li,

Liu

et al. 2024

IEEE Access

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Wind energy has been promoted as an environmentally-friendly and sustainable energy. The boost of wind power generation has greatly promoted the developments of modern urbanization. However, the characteristics of complexity, nonlinearity, constraints and multivariability make the controller design challenging. In this work, a Lyapunov-based MPC framework is proposed for nonlinear wind power systems with external disturbances and constraints. Firstly, a typical doubly-fed wind power generation system is established in line with the physical models of key components, i.e., wind turbine, transformation device and generator. Then, considering the exogenous disturbances, a nonlinear Lyapunov-based MPC framework is proposed for the wind power generation system. The optimization objective and constraints are constructed to formulate the control problem. As well, the closed-loop stability of presented MPC approach is derived. In the end, an actual 5MW wind power system is utilized to verify and analyze the effectiveness of designed controller under different wind speeds and weighting parameters.

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Section: Introductionmentioning

confidence: 99%

Lyapunov Based Nonlinear Model Predictive Control of Wind Power Generation System With External Disturbances

Luo,

Li,

Liu

et al. 2024

IEEE Access

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“…These components work together synergistically to achieve the intended purpose of PFC. Considering input saturations, 7 errorconstrained, 8,9 and event-triggered, 10,11 this article designs a novel PFC strategy that can avoid collisions for both dynamic and static obstacles and can accurately follow the desired path.…”

Section: Introductionmentioning

confidence: 99%

Event-triggered error-constrained switching guidance-based marine surface vessel path-following control and collision avoidance

Li,

Shen,

et al. 2024

Proceedings of the Institution of Mechanical Engineers, Part I:

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For marine surface vessel with input saturation, model uncertainties, and unknown disturbances, this article proposes a path-following control and collision avoidance method based on error-constrained event-triggered switching line-of-sight guidance. This method can autonomously switch between path-following and collision avoidance modes, constrain the position and heading errors to satisfy safe navigation in confined waters, and reduce the computational frequency of the controller and the mechanical wear of the actuator. In the path-following mode, we construct an asymmetric modified barrier Lyapunov function to constrain the position errors and use the relative threshold event-triggered mechanism to reduce the update frequency of the guidance heading angle. In the collision avoidance mode, static or dynamic obstacles are avoided through the response of collision avoidance radius. In the heading and velocity control design, asymmetric modified barrier Lyapunov function and event-triggered mechanism are also applied, so that the marine surface vessel can track the guided heading angle and meet the heading error-constrained while reducing the update frequency of the controller. The adaptive auxiliary systems are used to compensate for the input saturation, and radial basis function neural networks and adaptive laws are used to approximate the model uncertainties and composite disturbances. According to the Lyapunov stability theory, all signals are semi-globally uniformly ultimately bounded and the Zeno phenomenon is avoided. Finally, the comparative experiment shows the superiority of the designed control strategy.

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“…Until now, constrained control algorithms have been investigated by some researchers. The existing constraint control methods mainly include: set invariance principle, 13,14 command governor, 15,16 reference governor, 17,18 extremum seeking control, 19 model predictive control, 20–23 etc. However, there are some limitations in these algorithms.…”

Section: Introductionmentioning

confidence: 99%

A wheel slip ratio constraint control for ABS based on Tangent Type Barrier Lyapunov Function

Wang

Liu

Wei

et al. 2022

Measurement and Control

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This paper is concerned with the problem of a wheel slip ratio constraint control for the Antilock Braking System (ABS) with external interferences and state constraints. A quarter vehicle braking model with uncertainties is considered, and a constraint control method based on Tangent Type Barrier Lyapunov Function (Tan-BLF) is designed. In addition, due to the selection of the appropriate adaptive control rate, the designed control method can quickly track the ideal slip ratio and ensure that the slip ratio for ABS is always constrained in the stable region even if there are uncertainties in the control system and unknown external disturbances. The simulation results show that the control scheme proposed in this paper, compared with the traditional QLF controller scheme, can make the vehicle wheel slip rate stable at the optimal value early and keep it in the optimal range from the beginning of the simulation, thus reducing the braking distance and braking time of the vehicle, which means that the vehicle can avoid wheel locking. And the adaptive rate is always bounded.

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Distributed stochastic model predictive control for cyber–physical systems with multiple state delays and probabilistic saturation constraints

Cited by 21 publications

References 25 publications

Lyapunov Based Nonlinear Model Predictive Control of Wind Power Generation System With External Disturbances

Lyapunov Based Nonlinear Model Predictive Control of Wind Power Generation System With External Disturbances

Event-triggered error-constrained switching guidance-based marine surface vessel path-following control and collision avoidance

A wheel slip ratio constraint control for ABS based on Tangent Type Barrier Lyapunov Function

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