In the process of chemical production, the phenomenon of control valve's stiction is very common. This phenomenon causes control loop oscillation and has a negative effect on the quality and cost of the product. T...
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In this study, a novel online operating performance assessment method based on multi-sets two-step basis vector extraction artificial neural networks (MTBVE-ANN) strategy is proposed for industrial applications. The M...
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An improved nonlinear adaptive switching control method is presented to relax the assumption on the higher order nonlinear terms of a class of discrete-time non-affine nonlinear systems. The proposed control strategy ...
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An improved nonlinear adaptive switching control method is presented to relax the assumption on the higher order nonlinear terms of a class of discrete-time non-affine nonlinear systems. The proposed control strategy is composed of a linear adaptive controller, a neural network(NN) based nonlinear adaptive controller and a switching mechanism. An incremental model is derived to represent the considered system and an improved robust adaptive law is chosen to update the parameters of the linear adaptive controller. A new performance criterion of the switching mechanism is designed to select the proper controller. Using this control scheme, all the signals in the system are proved to be bounded. Numerical examples verify the effectiveness of the proposed algorithm.
This paper presents a fuzzy-model-based method for solving the consensus problem of a class of nonlinear multi-agent systems (MASs) with input saturation. Since each agent has nonlinear dynamics, the system is not asy...
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This paper presents a fuzzy-model-based method for solving the consensus problem of a class of nonlinear multi-agent systems (MASs) with input saturation. Since each agent has nonlinear dynamics, the system is not asymptotically null controllable with bounded controls (ANCBC). Therefore, the widely-used low-gain feedback method for designing consensus protocols of MASs with input saturation can no longer work. To this end, the Takagi-Sugeno (T-S) fuzzy model is adopted to formulate the error dynamics of those nonlinear follower agents with input saturation as well as a leader with time-varying states. Accordingly, by using the properties of convex hull, a set of invariance condition in the format of linear matrix inequality (LMI) is designed. Furthermore, by enlarging the shape reference set, the estimation of the attraction domain can be obtained. Simultaneously, by viewing the control gain as an extra free parameter in the LMI optimization procedure, the leader-follower consensus algorithm is proposed, which guarantees that all followers with input saturation can track the leader, and they can asymptotically reach consensus. Finally, numerical experiments validate the effectiveness of the proposed anti-saturation consensus algorithm.
Styrene is one of the most important monomers in the petrochemical industry. In this study, a novel methodology for tight integration of Real-Time optimization (RTO) and Model Predictive control (MPC) is applied to an...
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The variable-speed, variable-pitch speed wind turbines are widely used in the wind-energy system. However, the fluctuation of power generation is serious because of the erratic speed of wind and the nonlinearity of th...
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ISBN:
(纸本)9781509015740;9781509015733
The variable-speed, variable-pitch speed wind turbines are widely used in the wind-energy system. However, the fluctuation of power generation is serious because of the erratic speed of wind and the nonlinearity of the energy conversion systems (ECS). How to keep the ECS work well during the whole operating region is a challenge issue. In this paper, a multiple model predictive control (MMPC) using the state estimation is present to solve this issue. The whole operating region is divided into several sub-regions according to the wind's speed, in which several linear models and corresponding MPCs are constructed. The state variables of each local model are estimated by using the Kalman filter. A new switching criterion without perturbation is present to keep the MMPC works well at the different operating region switching. Considering the operating constraints, a quadratic programming procedure is used to calculate the optimal value of MMPC. Comparing the conventional PI controller, the proposed control achieves a good performance and reduces the fluctuation of power generation. Simulation results show the excellent performance of the present method.
This paper investigates the problem of event-triggered dual-mode distributed predictive control(DPC) for constrained large-scale linear systems subject to bounded *** on input-to-state stability(ISS) theory,the event-...
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ISBN:
(纸本)9781509009107
This paper investigates the problem of event-triggered dual-mode distributed predictive control(DPC) for constrained large-scale linear systems subject to bounded *** on input-to-state stability(ISS) theory,the event-triggering condition involving information of the subsystem itself is derived.A dual-mode predictive control scheme is designed to reduce information exchanges with neighboring *** upper bound of disturbances for ensuring the recursive feasibility and closed-loop stability are ***,a simulation example is given to show that the presented method is able to save computation resources and communication resources while guaranteeing the desired control performance.
In this work, the control problem for type-2 T-S fuzzy system with packet dropouts is investigated by modeling the system as a switched system with an unstable subsystem. The mode-dependent average dwell time approach...
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In this work, the control problem for type-2 T-S fuzzy system with packet dropouts is investigated by modeling the system as a switched system with an unstable subsystem. The mode-dependent average dwell time approach in both slow and fast switching sense is utilized for the analysis and synthesis. A sufficient condition is given by ensuring the packet loss rate no bigger than the specific fast switching mode-dependent average dwell time (MDADT) and the corresponding feedback matrices are obtained. Several simulation results illustrate the feasibility and effectiveness of the proposed method and the priority of the type-2 fuzzy system on describing some nonlinear systems.
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