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检索条件"任意字段=Proceedings of the 2nd IFAC Symposium on Nonlinear Control Systems Design"

共 1406 条记录，以下是1-10 订阅

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MPC for the Indoor Climate control and Energy Optimization of a Building-Integrated Rooftop Greenhouse systems 12

MPC for the Indoor Climate Control and Energy Optimization o...

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12th ifac symposium on control of Power and Energy systems (CPES)

作者： Chen, Wei-Han You, Fengqi Cornell Univ Syst Engn Ithaca NY 14853 USA

In this work, we design a nonlinear model predictive control (NMPC) strategy to optimize energy management in integrated rooftop greenhouses and buildings, aimed at minimizing operational expenses and reducing climate irregularities. This integrated system is tailored to maintain ideal conditions for both plant growth and building occupancy, utilizing the building's excess heat and air to lower energy consumption and CO2 emissions. The NMPC framework employs dynamic nonlinear models for temperature, humidity, and CO2, enhanced with real-time weather data, to improve control accuracy beyond traditional MPC methods. It manages various systems including fans, pad cooling, shading devices, heating, ventilation, air conditioning, CO2 injection, and lighting to precisely control environmental conditions. A case study from a rooftop greenhouse in Brooklyn, New York, demonstrates the NMPC's efficacy, showing an average energy savings of 15.2%. These results highlight the significant potential of NMPC to advance urban agricultural systems and building management practices. Copyright (C) 2024 The Authors. This is an open access article under the CC BY-NC-nd license (https://***/licenses/by-nc-nd/4.0/)

关键词： Greenhouse model predictive control building-integrated greenhouse

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A Unified Framework To design Time-Constrained control systems and its Application to Attitude control of a Rigid Spacecraft 2

A Unified Framework To Design Time-Constrained Control Syste...

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2nd ifac Workshop on Aerospace control Education (WACE)

作者： Ezabadi, Mostafa Emami, Seyyed Ali Castaldi, Paolo Sharif Univ Technol Dept Aerosp Engn Tehran Iran Univ Bologna Dept Elect Elect & Informat Engn Guglielmo Marcon Via Univ 50 Cesena Italy

This paper presents a unified educational framework for introducing and analyzing different time-constrained control methodologies for nonlinear systems. The formulation covers asymptotic, finite-time, fixed-time, predefined-time, and prescribed-time control approaches. For each methodology, the control design requirements are outlined, followed by the controller formulation and stability analysis using a generic second-order strict-feedback nonlinear system model. This unified treatment allows for a cohesive learning journey to understand the theoretical foundations and relative merits of the various time-constrained control strategies. To illustrate the practical utility of these techniques, the frameworks are applied to the attitude control problem for a rigid spacecraft. Comparative simulation results highlight the convergence behavior and tracking performance achieved by each method on this aerospace vehicle application. The unified presentation provides a pedagogical approach for the systematic study of time-constrained control methodologies of relevance for aerospace systems. This formulation can serve as an educational resource in aerospace control curricula for exposing students to these advanced nonlinear control techniques. Copyright (C) 2024 The Authors. This is an open access article under the CC BY-NC-nd license (https://***/licenses/by-nc-nd/4.0/)

关键词： asymptotic stability finite-time stability fixed-time stability predefined-time stability prescribed-time stability

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Runtime Monitoring and Fault Detection for Neural Network-controlled systems 12

Runtime Monitoring and Fault Detection for Neural Network-Co...

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12th ifac symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)

作者： Lan, Jianglin Zhan, Siyuan Patton, Ron Zhao, Xianxian Univ Glasgow James Watt Sch Engn Glasgow G12 8QQ Lanark Scotland Trinity Coll Dublin Dept Mech Mfg & Biomed Engn Dublin 2 Ireland Univ Hull Sch Engn Kingston Upon Hull HU6 7RX N Humberside England Univ Coll Dublin Sch Elect & Elect Engn Dublin DO4 V1W8 Ireland

There is an emerging trend in applying deep learning methods to control complex nonlinear systems. This paper considers enhancing the runtime safety of nonlinear systems controlled by neural networks in the presence of disturbance and measurement noise. A robustly stable interval observer is designed to generate sound and precise lower and upper bounds for the neural network, nonlinear function, and system state. The obtained interval is utilised to monitor the real-time system safety and detect faults in the system's outputs or actuators. An adaptive cruise control vehicular system is simulated to demonstrate effectiveness of the proposed design. Copyright (c) 2024 The Authors. This is an open access article under the CC BY-NC-nd license (https://***/licenses/by-nc-nd/4.0/)

关键词： Safety neural network observer fault detection intelligent autonomous vehicles

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Power based adaptive compensator of output oscillations 4

Power based adaptive compensator of output oscillations

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4th ifac Conference on Modelling, Identification and control of nonlinear systems (MICNON)

作者： Ruderman, Michael Univ Agder Dept Engn Sci N-4879 Grimstad Norway

Power-based output feedback compensator for oscillatory systems is proposed. The average input-output power of an oscillatory signal serves as an equivalent control effort, while the unknown amplitude and frequency of oscillations are detected at each half-period. This makes the compensator adaptive and discrete, while the measured oscillatory output is the single available signal in use. The resulting discrete control scheme enables a drastic reduction of communication efforts in the control loop. The compensator is designed for 2nd order systems, while an extension to higher-order dynamics, like e.g. in case of two-inertia systems, is also provided. Illustrative experimental case study of the 5th order oscillatory system is provided. Copyright (c) 2024 The Authors. This is an open access article under the CC BY-NC-nd license (https://***/licenses/by-nc-nd/4.0/)

关键词： Power based control oscillatory systems harmonics compensation peak detection

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Noise Sensitivity Reduction in Low-power Multi High Gain Observers Using Low-pass Filters 12

Noise Sensitivity Reduction in Low-power Multi High Gain Obs...

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12th ifac symposium on nonlinear control systems (NOLCOS)

作者： Mousavi, S. Guay, M. Queens Univ 99 Univ Ave Kingston ON K7L 3N6 Canada

ISBN: (纸本)9781713872344

Low-power multi high gain observers (LP MHGO) are proven to be effective in reducing the peaking of state estimation of nonlinear systems to an arbitrarily small magnitude. Moreover, they reduce the sensitivity of estimates to measurement noise. They also relax the numerical implementation problem of high gain observers by using gains powered up to the order of 2 instead of n. In this paper, we aim to further reduce the noise sensitivity of these observers by employing low-pass filters in the observer dynamics. The main results establish the convergence of the estimation error to zero with an arbitrarily small decay rate in the absence of noise, as well as an input to state stability feature when the noise is present. We also demonstrate in the linear case that the proposed observer improves the upper bound on the estimates. Simulation results compare the performance of the proposed observer with similar works and show the effectiveness of the proposed method. Copyright (c) 2023 The Authors. This is an open access article under the CC BY-NC-nd license (https://***/licenses/by-ne-nd/4.0/)

关键词： Observers for nonlinear systems nonlinear output feedback nonlinear systems

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Simulations in Development of nonlinear control for a Solar Thermal Power Plant 12

Simulations in Development of Nonlinear Control for a Solar ...

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12th ifac symposium on control of Power and Energy systems (CPES)

作者： Juuso, Esko K. Yebra, Luis J. Univ Oulu Control Engn Environm & Chem Engn Fac Technol POB 4300 FI-90014 Oulu Finland CIEMAT Plataforma Solar Almeria Almeria 04200 Spain

This paper focuses on the utilization of dynamic simulation models in the planning of experiments for control development. A set of models based on the first principles for system level simulation of the complete new TCP-100 research facility at Plataforma Solar de Almeria (CIEMAT) was planned for the development of control solutions for this new research facility which replaced the 32-year-old ACUREX facility. Many advances in Automatic control have been reached by using the ACUREX field. Simulation experiments with the parabolic trough (PTC) field would require more tuning and adaptive parts before getting the required experimental data for typical operating conditions. The analysis operates for all state variables, which are temperatures, and input variables, which include solar radiation, ambient temperature and several setpoints. The nonlinear scaling approach keeps the algorithms unchanged by focusing on the meanings of the measured variables. The scaling functions are variable specific. For the irradiation, the functions do not change which means that also the indicator of the cloudiness remains the same. The algorithms are not changed and the data analysis is for a limited set of measurements and subsystems. The simulation experiments need to be first focused on the loops and modules of the solar field and the full model need to be extended before going to the full simulation tests and the test campaigns with the new facility. Copyright (C) 2024 The Authors. This is an open access article under the CC BY-NC-nd license (https://***/licenses/by-nc-nd/4.0/)

关键词： nonlinear scaling uncertainty dynamic modelling first principles simulation operation of solar PTC plants

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Adaptive Prescribed-time Dynamic Surface control for nonlinear systems with Unknown control Gains and Time-varying Parameter Uncertainties 24

Adaptive Prescribed-time Dynamic Surface Control for Nonline...

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2nd International Conference on Frontiers of Intelligent Manufacturing and Automation, CFIMA 2024

作者： Ji, Yulong Niu, Ben Gao, Yahui Zhao, Xudong Wang, Huanqing Shandong Normal University Jinan China Dalian University of Technology Dalian China Bohai University Jinzhou China

ISBN: (纸本)9798400710681

This paper examines the adaptive prescribed-time dynamic surface control (PTDSC) problem for uncertain nonlinear systems with unknown control gains and time-varying parameter uncertainties. The spatiotemporal transformation method is employed to address the impact of unknown control gains in nonlinear systems, enabling the system stabilization in the prescribed time. To address the issue of "complexity explosion" in the backstepping design process, a novel dynamic surface control (DSC) strategy is proposed, which incorporates a time-varying gain into the nonlinear filter. Moreover, under the Lyapunov stability theory, rational adaptive laws are designed to overcome the impact of uncertain time-varying parameters. The PTDSC strategy proposed in this paper ensures that all system states and the estimation errors of the nonlinear filters converge to zero within the prescribed time. Finally, a simulation example is provided to demonstrate the efficacy of the control algorithm. © 2024 Copyright held by the owner/author(s).

关键词： Backstepping

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On the Adaptive Tracking Problem of Time -Varying systems using the Congelation for Variables Method 12

On the Adaptive Tracking Problem of Time -Varying Systems us...

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12th ifac symposium on nonlinear control systems (NOLCOS)

作者： Chen, Kaiwen Astolfi, Alessandro Imperial Coll London Dept Elect & Elect Engn London SW7 2AZ England Univ Roma Tor Vergata Dipartimento Ingn Civile & Ingn Informat I-00133 Rome Italy

ISBN: (纸本)9781713872344

This paper discusses the use of the so-called congelation of variables method in the reference tracking problem for a class of nonlinear systems with matched, time-varying, parametric uncertainty. It is shown that the tracking problem using the proposed framework can be decomposed into a zero-regulation problem and a disturbance rejection problem. To reduce the size of the disturbance term, a dynamical system with known input is incorporated into the parameter update law to generate a time-varying nominal parameter. To reject the remaining disturbance term, a sign-like function is exploited, which achieves an adjustable tracking performance in an average sense, while guaranteeing boundedness of all trajectories of the closed-loop system. The theory is illustrated by solving a path-tracking problem and it is shown that the proposed control scheme outperforms the classical scheme in the presence of time-varying parameters. Copyright 2023 The Authors. This is an open access article under the CC BY-NC-nd license (littps ***/by-ne-nd 4.0)

关键词： Adaptive control Time-varying systems Lyapunov methods

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Output Feedback control for nonlinear systems with Input/Output Quantization Based on Sampling 24

Output Feedback Control for Nonlinear Systems with Input/Out...

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2nd International Conference on Frontiers of Intelligent Manufacturing and Automation, CFIMA 2024

作者： Wei, Jing Li, Yafeng Yanshan University Hebei China

ISBN: (纸本)9798400710681

In this paper, a new output feedback control scheme is proposed for nonlinear systems based on sampled-data input-output quantization. By sampling the output signal and using the quantizer to filter the sampled signal, the waste of resources in the data channel can be effectively reduced and the communication efficiency can be improved. Firstly, we use the sampled and quantized output signal to construct an improved state observer to estimate the unavailable system state and discontinuous output. At the same time, the instability of the system caused by the sampling error is solved. Then, the estimated output signal is used to design the virtual control signal based on the backstepping method. The use of dynamic filtering technology can avoid repeated differentiation of virtual control signals in backstepping design. The results show that all the signals in the closed-loop system are uniformly bounded. Finally, simulation studies verify and demonstrate the effectiveness of the proposed strategy. © 2024 Copyright held by the owner/author(s).

关键词： Quantization (signal)

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2023 2nd International symposium on Aerospace Engineering and systems, ISAES 2023

2023 2nd International Symposium on Aerospace Engineering an...

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2nd International symposium on Aerospace Engineering and systems, ISAES 2023

ISBN: (纸本)9798350303728

The proceedings contain 41 papers. The topics discussed include: influence analysis of design parameters of low orbit early warning system based on STK/Matlab;establishment and solution of a pure azimuth passive positioning model in different formation flights of UAVs;design of space link IP network protocol based on USLP;research on pose measurement and modelling technology of malfunctioning spacecraft based on SLAM;intelligent optimization design technology for typical structural parts of aircraft;integrated design of lateral-directional control law and vertical tail load for civil aircraft;uncertainty calculation for spacecraft thermal models using a PCE method;design of aerial refueling rendezvous routes for UAVs based on nonlinear guide laws;the design and implementation of extravehicular experiments support system for manned spacecrafts;spacecraft role selection method based on game trees with weights;and arrangement and verification of life rafts’ overhead stowage bins for civil aircraft.

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