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ieee symposium Series on computational intelligence (SSCI)

作者： Liao, Zehua Wei, Qinglai Song, Ruizhuo Chinese Acad Sci State Key Lab Management & Control Complex Syst Inst Automat Beijing Peoples R China Univ Sci & Technol Beijing Sch Automat & Elect Engn Beijing Peoples R China

ISBN: (纸本)9781728124858

As a kind of distributed energy storage system, ice-storage air conditioning (IAC) system is an effective way for transferring cooling load. A parallel adaptive critic design method is constructed for solving the optimal control problem of IAC systems. Adaptive critic design is also called adaptive dynamic programming (ADP). The initial value function of the parallel ADP method is obtained by using particle swarm optimization (PSO) method to pre-train the weights of the neural networks. Another PSO algorithm is utilized in each iteration to achieve the target control, which avoids solving a nonlinear equation in traditional ADP algorithms. Finally, the efficiency of the parallel ADP algorithm will be illustrated through the experiment results.

关键词： Parallel adaptive critic design adaptive dynamic programming particle swarm optimization ice-storage air conditioning

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On the design of a myoelectric human-machine interface for the control of an industrial robot 13

On the design of a myoelectric human-machine interface for t...

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ieee 13th International symposium on Applied computational intelligence and Informatics (SACI)

作者： Kristof, Robert Ciupe, Valentin Moldovan, Cristian Maniu, Inocentiu Banda, Magdalena Stoian, Ana-Maria Politehn Univ Timisoara Mechatron Dept Timisoara Romania

ISBN: (纸本)9781728106854

In this paper we present design aspects regarding a myoelectric Human-Machine Interface (HMI) for the control of a KUKA KR15 industrial robot by using a Thalmic Labs Myo armband. To be functional, the Myo armband needs to be installed on the user's forearm in order to read and interpret the user's arm motion and gestures. Our goal is that the user should be able to control the robot's gripper position by moving his arm. This paper presents the architecture of the system, describes the subsystems and the software code that was used in order to make the system functional and analyze its performance. The results of our work are presented in the paper. In the Conclusions chapter are discussed the limitations of the system and future work.

关键词： Myo Armband Kuka robot HMI industrial robot control gesture control

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Robustness analysis and reconfiguration strategy of autonomous vehicles in intersections 13

Robustness analysis and reconfiguration strategy of autonomo...

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ieee 13th International symposium on Applied computational intelligence and Informatics (SACI)

作者： Szilassy, Peter Nemeth, Balazs Gaspar, Peter Szauter, Ferenc Pup, Daniel Budapest Univ Technol & Econ Dept Control Transportat & Vehicle Syst Budapest Hungary Hungarian Acad Sci Syst & Control Lab Inst Comp Sci & Control Budapest Hungary Szechenyi Istvan Univ Res Ctr Vehicle Ind Gyor Hungary

ISBN: (纸本)9781728106854

The paper proposes the design of a neural-network-based control strategy of autonomous vehicles in intersections. The motivation of the neural network approach is to reduce the numerically-intensive computation of the optimization problem in which the motions of autonomous vehicles are formed. In the method the neural network is trained through a preliminary optimal off-line solution. Moreover, a robustness analysis and a reconfiguration strategy for the scenarios with vehicle position disturbances are proposed. The design and the analysis are illustrated through CarSim simulation examples.

关键词： Autonomous vehicles

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Expanding conformal prediction to system identification

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Pattern Recognition 2025年 167卷

作者： Msaddi, Saleh Kumbasar, Tufan Artificial Intelligence and Intelligent Systems Laboratory Istanbul Technical University Istanbul34469 Turkey Control and Automation Engineering Department Istanbul Technical University Istanbul34469 Turkey

System Identification (SysID) is a cornerstone of control engineering, aimed at modeling system dynamics from input–output data. However, SysID approaches often overlook uncertainty quantification (UQ), which is crucial for robust decision-making. To address this gap, we propose Conformal System Identification (C-SysID), a model-agnostic framework for UQ in single-output and multiple-output SysID tasks. C-SysID transforms point predictions of any SysID model into High-Quality (HQ) Prediction Intervals (PIs) for single-output systems or Prediction Regions (PRs) for multiple-output systems, ensuring the true output is captured within the specified confidence level. For single-output systems, we use the Updated Residuals (UR) and Weighted Updated Residuals (WUR) methods to generate valid HQ PIs. In the case of multiple-output systems, we apply the Copula method and introduce the Updated Copula (UC) method, which captures output dependencies to generate HQ PRs. We empirically validate C-SysID on diverse single-output and multiple-output SysID datasets. The statistically significant comparative results show that the WUR method outperforms baseline methods, delivering tight PIs with the desired coverage. For multiple-output systems, our proposed UC method generates PRs that achieve accurate joint coverage while maintaining the compactness of PRs. The results highlight the effectiveness of C-SysID in UQ and enhancing uncertainty-aware predictions for SysID applications. © 2025 Elsevier Ltd

关键词： Parameter estimation

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Improved PQ control Mothod for PV System

Improved PQ Control Mothod for PV System

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ieee symposium Series on computational intelligence (SSCI)

作者： Cheng, Lin Xu, Panfeng Zhang, Qian Wang, Youming Xian Univ Posts & Telecommun Sch Automat Xian Peoples R China

ISBN: (纸本)9781728124858

Active-reactive power (PQ) control strategy are widely used in the microgrid-connected operation mode, which is an important part of photovoltaic (PV) systems. However, the direct current (DC) voltage of three-phase alternating current/direct current (AC/DC) converter will generate pulsations twice the fundamental frequency when the AC side voltage of hybrid microgrid is unbalanced, which will result in the formation of a large number of 3rd harmonic components and affect the operation of the microgrid seriously. This paper presents an improved PQ control strategy under the premise of analyzing the output characteristic of inverter in an unbalanced condition. In this control strateo, a voltage compensator is introduced in the traditional PQ control for keeping the active-reactive power constant, which realize proportional integration (PI) control and particle swarm optimization (PSO) of the voltage. The experimental result shows that the improved PQ control strategy can suppress the interference and output power fluctuations caused by the voltage imbalance of the power grid effectively, the improved results achieve the stable operation of the local sensitive load. The proposed control strategy is verified feasible through simulation experiments.

关键词： microgrid PQ control PI control particle swarm optimization

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Model Predictive control of Heating Process with Weather Forecast Compensation

Model Predictive Control of Heating Process with Weather For...

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2019 ieee symposium Series on computational intelligence, SSCI 2019

作者： Ping, Jiang Chenxi, J.U. Shi, L.I. Wenxue, X.U. Yu, Q.I.N. University of Jinan School of Electrical Engineering Jinan China Co. Ltd Jinan China

ISBN: (纸本)9781728124858

This paper deals with a first-principle modeling and model predictive control strategy of heating process. The first principle model based on energy conservation is proposed, the model parameters are estimated using field data of heat supply station. The nonlinear model can be seen as a state-space model with time varying parameters. Then, a model predictive control algorithm based on time varying parameter state space model with weather temperature forecast compensation is proposed. In the MPC algorithm proposed in this paper, the consideration of future weather forecast is added, so that the indoor temperature control effect can be ensured while minimizing energy consumption. © 2019 ieee.

关键词： Model predictive control

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Adaptive Dynamic Programming-based Decentralized Sliding Mode Optimal control for Modular and Reconfigurable Robots

Adaptive Dynamic Programming-based Decentralized Sliding Mod...

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ieee symposium Series on computational intelligence (SSCI)

作者： An, Tianjiao Men, Xiaodong Zhang, Xinyao Li, Yuanchun Dong, Bo Changchun Univ Technol Dept Control Sci & Engn Changchun Peoples R China Northeastern Univ Res Ctr Mech Kinet & Reliabil Qinhuangdao Hebei Peoples R China

ISBN: (纸本)9781728124858

A model-free decentralized sliding mode control (SMC) is proposed via adaptive dynamic programming (ADP) algorithm to solve the problem of optimal tracking control of modular and reconfigurable robots (MRRs) in this paper. The dynamic formulation of MRR is expressed by a synthesis of joint subsystems with interconnected dynamic couplings (IDCs). Based on SMC technique, the optimal control of robotic system is transformed into an optimal compensation problem of unknown dynamics of each subsystem and a neural network (NN) identifier is set up to approximate IDC dynamics. Based on ADP and policy iteration (PI) method, the Hamilton-Jacobi-Bellman (HJB) equation can be addressed by using the critic NN and the optimal control policy can be obtained. The closed-loop robotic system is proved to be asymptotic stable by using the Lyapunov theory. Finally, simulation results are provided to demonstrate the effectiveness of the method.

关键词： Optimal control Decentralized control Adaptive dynamic programming Modular and reconfigurable robot

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Quantitative Model Checking for a Resilient control System

Quantitative Model Checking for a Resilient Control System

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ieee symposium Series on computational intelligence (SSCI)

作者： Jung, Jay Hoon Kim, Eunhee Kwon, YoungMin SUNY Stony Brook Dept Comp Sci Stony Brook NY 11794 USA 2e Consulting Corp Seoul South Korea State Univ New York Korea Dept Comp Sci Incheon South Korea

ISBN: (纸本)9781728124858

Automatic controllers are interfacing computer systems and physical systems. Because they are physically interacting with surrounding environments, their misbehavior can critically harm anyone nearby. For their safe operations, it is critical to ensure that their behaviors conform to the specification in normal operational conditions and any hazardous actions due to unexpected operational environments are prevented. In this paper, we introduce a quantitative model checking technique to the design of a controller so that the resulting system satisfies the specification in normal condition. Furthermore, we applied the technique to check and forewarn if a sensor reading now may lead to a violation of the specifications in the future.

关键词： quantitative model checking linear temporal logic automatic control

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An Automatic Clustering Algorithm Using NSGA-II with Gene Rearrangement 10

An Automatic Clustering Algorithm Using NSGA-II with Gene Re...

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10th ieee International Conference on Intelligent Systems, IS 2020

作者： Qu, Hongchun Yin, Li Chongqing University of Posts and Telecommunications College of Automation Chongqing China Chongqing University of Posts and Telecommunications College of Computer Science and Technology Chongqing China

ISBN: (纸本)9781728154565

As an unsupervised learning method in machine learning, clustering is a way to understand and learn from data. One of the most widely used clustering algorithms is the prototype-based clustering method, which needs to know the clusters number in advance. However, the number of clusters is often unlikely to be specified with prior experience. In this paper, we proposed a data clustering method, GR-NSGAII, which does not need to pre-set the number of clusters. Instead, the number of cluster and the results are generated automatically. Unlike the benchmark partitioning algorithm-based methods, it is a multi-objective optimization clustering approach based on genetic algorithm NSGA-II, in which only the objective functions were used to guide the clustering partitioning. Two optimization criteria, i.e., the sum of generalized sample variance and the Calinski-Harabasz index, were simultaneously optimized to control the number of clusters in a reasonable range. In addition, a technique named gene rearrangement combined with cluster merging was used to get better clustering results. In contrast with the state-of-the-art multi-objective evolutionary clustering methods, GR-NSGAII has better performance. © 2020 ieee.

关键词： Genetic algorithms

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Semantic Rule Based RBAC Extension Model for Flexible Resource Allocation 12

Semantic Rule Based RBAC Extension Model for Flexible Resour...

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12th International symposium on computational intelligence and Design (ISCID)

作者： Zou, Yunfeng Deng, Junhua Xu, Chao Liang, Xiao Chen, Xiaona State Grid Jiangsu Elect Power Co Ltd Res Inst Nanjing 210000 Jiangsu Peoples R China Global Energy Interconnect Res Inst Co Ltd Beijing 102209 Peoples R China North China Elect Power Univ Sch Control & Comp Engn Beijing 102206 Peoples R China

ISBN: (纸本)9781728146522

Access control plays an important role in restricting the access of key resources, preventing from invasion of illegal users or the damages caused by legal users' unintended operations. However, most of approaches for extending the semantic description of RBAC failed to seamlessly integrate knowledge representation of RBAC and domain specific rules together. In this paper, we present a semantic rules based RBAC extension model for flexible data access and resource allocation. We first give the formal concept of the extension model. Then we discuss how to describe RBAC permission for the seamless integration in the OWL semantic description and the SWRL semantic rule description. At last, we generate the uniform authorization views based on SPARQL query, which include views authorized by both explicit and implicit manners.

关键词： access control ontology language semantic rule description RBAC

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