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Intelligent cloud-based RAS management: integration of DDPG reinforcement learning with AWS IoT for optimized aquaculture production. [PDF]

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Elmessery WM   +8 more
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Energetic constraints shape the diversity of feasible ecological networks. [PDF]

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Long C   +4 more
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Parallel Control of Distributed Parameter Systems

IEEE Transactions on Cybernetics, 2018
In this paper, we study the control problems of distributed parameter systems, and discuss the limitations of traditional control methods. In recent years, social factors have gradually become an essential parameter of system modeling.
Yuhua Song   +5 more
semanticscholar   +3 more sources

Fuzzy Intermittent Extended Dissipative Control for Delayed Distributed Parameter Systems With Stochastic Disturbance: A Spatial Point Sampling Approach

IEEE transactions on fuzzy systems, 2022
In this article, the extended dissipative performance of distributed parameter systems (DPSs) with stochastic disturbances and multiple time-varying delays is studied by using a new fuzzy aperiodic intermittent sampled-data control strategy.
Kui Ding, Quanxin Zhu
semanticscholar   +1 more source

Finite-Time Fault Estimation and Tolerant Control for Nonlinear Interconnected Distributed Parameter Systems With Markovian Switching Channels

IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 2022
This work investigates the problems of decentralized fault estimation within a finite-time interval (FTI) and fault-tolerant control for nonlinear interconnected distributed parameter systems under the situation of unpredictable faults.
Xiaona Song   +3 more
semanticscholar   +1 more source

Sampled-Data Fuzzy Control for Nonlinear Delayed Distributed Parameter Systems

IEEE transactions on fuzzy systems, 2021
Under spatially local averaged measurements (SLAMs), this article introduces a sampled-data fuzzy control (SDFC) for nonlinear delayed distributed parameter systems (DDPSs).
Zipeng Wang   +2 more
semanticscholar   +1 more source

Iterative learning control for distributed parameter systems based on non-collocated sensors and actuators

IEEE/CAA Journal of Automatica Sinica, 2020
In this paper, an open-loop PD-type iterative learning control ( ILC ) scheme is first proposed for two kinds of distributed parameter systems ( DPSs ) which are described by parabolic partial differential equations using non-collocated sensors and ...
Jianxiang Zhang   +3 more
semanticscholar   +1 more source

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