In this paper, a reference tracking controller for an 8-compartment epidemic model is proposed. The dynamical model describing the disease spread and progression is given in nonlinear input-affine form. The manipulabl...
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The work demonstrates the process of developing a machine learning model for a system for monitoring and controlling the quality of predough at a bakery. This system will provide continuous analysis of the predough pa...
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The discrete-time implementation of the super-twisting sliding mode controller for a plant with disturbances with bounded slope, zero-order hold actuation, and actuator constraints is considered. Motivated by restrict...
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In the conventional robust optimization(RO)context,the uncertainty is regarded as residing in a predetermined and fixed uncertainty *** many applications,however,uncertainties are affected by decisions,making the curr...
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In the conventional robust optimization(RO)context,the uncertainty is regarded as residing in a predetermined and fixed uncertainty *** many applications,however,uncertainties are affected by decisions,making the current RO framework *** paper investigates a class of two-stage RO problems that involve decision-dependent *** introduce a class of polyhedral uncertainty sets whose right-hand-side vector has a dependency on the here-and-now decisions and seek to derive the exact optimal wait-and-see decisions for the second-stage problem.A novel iterative algorithm based on the Benders dual decomposition is proposed where advanced optimality cuts and feasibility cuts are designed to incorporate the uncertainty-decision *** computational tractability,robust feasibility and optimality,and convergence performance of the proposed algorithm are guaranteed with theoretical *** motivating application examples that feature the decision-dependent uncertainties are ***,the proposed solution methodology is verified by conducting case studies on the pre-disaster highway investment problem.
This paper presents a distinct framework for the design of an observer-based feedback control strategy for networked controlsystems (NCS) affected by unknown time-varying transmission delays larger than the sampling ...
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ISBN:
(数字)9798350316339
ISBN:
(纸本)9798350316346
This paper presents a distinct framework for the design of an observer-based feedback control strategy for networked controlsystems (NCS) affected by unknown time-varying transmission delays larger than the sampling time $\boldsymbol{T}_{d}$. The pivotal element of the proposed strategy lies in the configuration of network nodes and a buffering mechanism which enable state estimation at the controller’s side using observer strategies not initially designed for NCS. Consequently, the Luenberger-type observer can be designed independently from the utilized network, thus leading to a substantial reduction in the complexity typically associated with uncertain and time-varying NCS. Furthermore, the proposed framework allows the strategic incorporation of predicted state estimates in the controller design. This mitigates the effect of the network delay by reducing it by $T_{d}$, which can significantly improve the system performance, as demonstrated in a simulation example.
The problem of state estimation with boundary disturbance reconstruction and output regulation for linear 1D parabolic systems with a boundary measurement and unknown constant disturbance input on the opposite boundar...
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The problem of state estimation with boundary disturbance reconstruction and output regulation for linear 1D parabolic systems with a boundary measurement and unknown constant disturbance input on the opposite boundary is addressed. As the disturbance is unmatched it cannot be directly compensated by the measurement. The problem is addressed with an approach that consists of a backstepping observer for the nominal part with an asymptotic compensation term for the disturbance reconstruction and control offset compensation. The main difference to similar studies relies in the fact that the state space does not need to be extended, leading to a reduced-order observer setup. The effectiveness of the approach is illustrated using numerical simulations.
This paper introduces a new strategy for robustly controlling linear discrete-time systems that experience both periodic disturbances modeled by an uncertain exosystem and bounded matched disturbances. The strategy, c...
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ISBN:
(数字)9798350316339
ISBN:
(纸本)9798350316346
This paper introduces a new strategy for robustly controlling linear discrete-time systems that experience both periodic disturbances modeled by an uncertain exosystem and bounded matched disturbances. The strategy, called internal model-based sliding mode control, combines the robustness of sliding mode control with the precise tracking capabilities of internal model-based control. This new approach, inspired by implicitly discretized first order sliding mode control, offers superior performance with reduced chattering compared to explicit methods while maintaining simplicity. By effectively suppressing chattering and leveraging the exosystem model incorporated in the internal model-based controller, the proposed method achieves superior disturbance rejection compared with feedback loops relying either on internal model-based control or sliding mode control only. The presented simulation example illustrates the application of the proposed controller and the obtained results show that significant disturbance rejection improvement is achieved.
Due to the influence of global warming, extreme wind weather occurs frequently, especially in extreme weather such as typhoons and cold waves, problems such as wind turbine shutdown, cutting out, and sudden changes in...
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This paper addresses the asymptotic control problem of uncertain multi-input and multi-output(MIMO)nonlinear *** considered MIMO systems contain unknown virtual control coefficients(UVCCs)and state *** Lyapunov functi...
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This paper addresses the asymptotic control problem of uncertain multi-input and multi-output(MIMO)nonlinear *** considered MIMO systems contain unknown virtual control coefficients(UVCCs)and state *** Lyapunov function by associating with the lower bounds of UVCCs is presented to counteract the adverse effect deriving from *** state constraints are ensured by utilising the barrier Lyapunov ***,the asymptotic tracking controller is recursively constructed by combining the backstepping technique with fuzzy logic *** remarkable character of the designed controller is that the asymptotic tracking performance can be achieved by introducing some smooth functions into adaptive backstepping *** contrast to the existing results,the conditions on the UVCCs are ***,the new control design is illustrated by a practical example.
Geometry problem solving (GPS) is an important research direction in artificial intelligence. Previous studies have demonstrated the effectiveness of neural solvers in GPS. However, they are deficiencies in accurately...
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