This paper considers the boundary control of a star-shaped open-channel network modeled by the Saint-Venant equations. We present the boundary feedback stabilization of the Saint-Venant equations by means of a Riemann...
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Processes with multiphase are commonly found in process industries. Process dynamics and correlations among variables tend to change with the transitions across such phases. In this paper, we propose a new data-driven...
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ISBN:
(纸本)9781467355339
Processes with multiphase are commonly found in process industries. Process dynamics and correlations among variables tend to change with the transitions across such phases. In this paper, we propose a new data-driven predictive control strategy with the consideration of the important multiphase feature. The method aims to feature the multiphase data and use the data to design the controller. First, the data is divided and weighted based on the multiple phases and transitions. Through the minimal image representation, the data-driven prediction of future trajectory can be obtained and thus the computation of dynamic optimization. In the proposed controller, data Hankel matrices is direct incorporated in the predictive control laws, without a model or an intermediate step to meet the given performance specifications. Finally, the proposed predictive controller is demonstrated on a multiphase process.
In this paper,we present a model predictive control algorithm for input-saturated systems by a saturation-dependent Lyapunov function *** saturation-dependent Lyapunov function captures the real-time information on th...
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ISBN:
(纸本)9781479900305
In this paper,we present a model predictive control algorithm for input-saturated systems by a saturation-dependent Lyapunov function *** saturation-dependent Lyapunov function captures the real-time information on the severity of saturation and thus leads to less conservative results in controller design.A set invariance condition for the systems with input saturation is presented.A min-max MPC algorithm is proposed for the linear parameter-varying(LPV) systems based on the invariant *** MPC controller is determined by solving a linear matrix inequality(LMI) optimization *** example demonstrates the effectiveness of the proposed algorithm.
This paper is concerned with the stability and stabilizability problems of networked controlsystems（NCSs） with partly quantized *** precisely,the remote state variables transported from other sub-systems experience...
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ISBN:
(纸本)9781479900305
This paper is concerned with the stability and stabilizability problems of networked controlsystems（NCSs） with partly quantized *** precisely,the remote state variables transported from other sub-systems experience quantization errors,while the local state variables do *** consideration is much more natural in NCSs due to the distributive nature of *** errors are represented as convex poly-topic *** on the Lyapunov-Krasovskii （L-K） functional approach,sufficient conditions for the existence of a quantized robust Hstate feedback controller for NCSs are *** conditions are obtained in terms of bilinear matrix inequalities（BMIs）.Furthermore,a cone complementarity algorithm is utilized to convert these BMIs into a convex optimization ***,a simulation example is provided to demonstrate the efficiency of proposed theorems.
This paper generalizes the concept of the depth-independent interaction matrix, developed for point and line features in our early work, to generalized image features. We derive the conditions under which the depth-in...
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The current situation of environmental resources requires their efficient usage through efficient process control. But, process control can not be achieved without an essential component: the communication between all...
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ISBN:
(纸本)9781467361408
The current situation of environmental resources requires their efficient usage through efficient process control. But, process control can not be achieved without an essential component: the communication between all devices, such as sensors, controllers, actuators, programming stations etc. The aim is to achieve the irrigation process of plants in greenhouse conditions. Therefore, it is submitted a comprehensive application that proposes to be a distributed controlsystem including data acquisition and processing, both local and remote monitoring of the process parameters. The distributed system is based on modern equipment: Siemens Simatic PLCs and HMI, Memsic e̅Ko Pro wireless sensors network, level sensors for irrigation tanks and actuators such as on/off valves and pumps. In terms of communication between equipments, an industrial bus and protocols were used - Profinet and wireless communication. The software part is provided by TIA Portal with STEP 7 and WinCC flexible RT and LOGO! Soft Comfort for programming the automation devices. ModbusTCP was used to develop the communication protocol between central devices.
This paper considers the boundary control of a star-shaped open-channel network modeled by the Saint-Venant equations. We present the boundary feedback stabilization of the Saint-Venant equations by means of a Riemann...
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This paper considers the boundary control of a star-shaped open-channel network modeled by the Saint-Venant equations. We present the boundary feedback stabilization of the Saint-Venant equations by means of a Riemann invariants method. The estimation of the parameters satisfying the stability condition is deduced. The boundary feedback control is developed to guarantee that the solution of the controlsystem decays exponentially, only by taking the water levels at the gate boundaries as the feedback.
A stabilized Distributed MPC for large scale system is proposed and its designation is given in this paper for improving the global performance of closed-loop system. To make the performance of closed-loop system more...
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