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  • 1.
    Dencker, Kerstin
    et al.
    KTH, Skolan för industriell teknik och management (ITM), Industriell produktion.
    Fasth, Åsa
    Chalmers University of Technology, Division of Production Systems.
    Stahre, Johan
    Chalmers University of Technology, Division of Production Systems.
    Mårtensson, Lena
    KTH, Skolan för industriell teknik och management (ITM), Industriell ekonomi och organisation (Inst.), Industriell arbetsvetenskap.
    Akillioglu, Hakan
    KTH, Skolan för industriell teknik och management (ITM), Centra, Design and Management of Manufacturing Systems, DMMS.
    Lundholm, Thomas
    KTH, Skolan för industriell teknik och management (ITM), Industriell produktion.
    Proactive Assembly Systems – realizing the potential of human collaboration with automation2009Inngår i: Annual Reviews in Control, ISSN 1367-5788, E-ISSN 1872-9088, Vol. 33, nr 2, s. 230-237Artikkel, forskningsoversikt (Fagfellevurdert)
    Abstract [en]

    Manufacturing competitiveness frequently relies on company ability to rapidly reconfigure their assembly systems. This paper introduces assembly system proactivity, a concept based on interrelated levels of automation, human competence, and information handling. Increased and structured human involvement contributes to increased system ability to proactively address predicted and unpredicted events. Correct involvement of human operators will utilize the combined potential of human and technical capabilities, providing cost-efficient assembly system solutions. The ProAct project is developing proactive assembly system models and evaluates proactive, feature-based solutions. Focus is on realising the potential of cost-efficient and semi-automated systems with relevant human involvement, i.e. highly skilled operators who add flexibility and functionality.

  • 2.
    Dibaji, Seyed Mehran
    et al.
    MIT, Dept Mech Engn, Cambridge, MA 02139 USA..
    Pirani, Mohammad
    KTH, Skolan för elektroteknik och datavetenskap (EECS), Reglerteknik.
    Flamholz, David Bezalel
    MIT, Dept Mech Engn, Cambridge, MA 02139 USA..
    Annaswamy, Anuradha M.
    MIT, Dept Mech Engn, Cambridge, MA 02139 USA..
    Johansson, Karl H.
    KTH, Skolan för elektroteknik och datavetenskap (EECS), Reglerteknik.
    Chakrabortty, Aranya
    North Carolina State Univ, Dept Elect Engn, Raleigh, NC USA..
    A systems and control perspective of CPS security2019Inngår i: Annual Reviews in Control, ISSN 1367-5788, E-ISSN 1872-9088, Vol. 47, s. 394-411Artikkel, forskningsoversikt (Fagfellevurdert)
    Abstract [en]

    The comprehensive integration of instrumentation, communication, and control into physical systems has led to the study of Cyber-Physical Systems (CPSs), a field that has recently garnered increased attention. A key concern that is ubiquitous in CPS is a need to ensure security in the face of cyber attacks. In this paper, we carry out a survey of systems and control methods that have been proposed for the security of CPS. We classify these methods into three categories based on the type of defense proposed against the cyberattacks: prevention, resilience, and detection & isolation. A unified threat assessment metric is proposed in order to evaluate how CPS security is achieved in each of these three cases. Also surveyed are the risk assessment tools and the effect of network topology on CPS security. Furthermore, an emphasis has been placed on power and transportation applications in the overall survey.

  • 3.
    Heshmati-Alamdari, Shahab
    et al.
    Natl Tech Univ Athens, Dept Mech Engn, Control Syst Lab, 9 Heroon Polytech St, Zografos 15780, Greece..
    Bechlioulis, Charalampos P.
    Natl Tech Univ Athens, Dept Mech Engn, Control Syst Lab, 9 Heroon Polytech St, Zografos 15780, Greece..
    Karras, George C.
    Natl Tech Univ Athens, Dept Mech Engn, Control Syst Lab, 9 Heroon Polytech St, Zografos 15780, Greece..
    Nikou, Alexandros
    KTH, Skolan för elektroteknik och datavetenskap (EECS), Centra, Centrum för autonoma system, CAS.
    Dimarogonas, Dimos V.
    KTH, Skolan för elektroteknik och datavetenskap (EECS), Centra, Centrum för autonoma system, CAS.
    Kyriakopoulos, Kostas J.
    Natl Tech Univ Athens, Dept Mech Engn, Control Syst Lab, 9 Heroon Polytech St, Zografos 15780, Greece..
    A robust interaction control approach for underwater vehicle manipulator systems2018Inngår i: Annual Reviews in Control, ISSN 1367-5788, E-ISSN 1872-9088, Vol. 46, s. 315-325Artikkel, forskningsoversikt (Fagfellevurdert)
    Abstract [en]

    In underwater robotic interaction tasks (e.g., sampling of sea organisms, underwater welding, panel handling, etc) various issues regarding the uncertainties and complexity of the robot dynamic model, the external disturbances (e.g., sea currents), the steady state performance as well as the overshooting/undershooting of the interaction force error, should be addressed during the control design. Motivated by the aforementioned considerations, this paper presents a force/position tracking control protocol for an Underwater Vehicle Manipulator System (UVMS) in compliant contact with a planar surface, without incorporating any knowledge of the UVMS dynamic model, the exogenous disturbances or the contact stiffness model. Moreover, the proposed control framework guarantees: (i) certain predefined minimum speed of response, maximum steady state error as well as overshoot/undershoot concerning the force/position tracking errors, (ii) contact maintenance and (iii) bounded closed loop signals. Additionally, the achieved transient and steady state performance is solely determined by certain designer-specified performance functions/parameters and is fully decoupled from the control gain selection and the initial conditions. Finally, both simulation and experimental studies clarify the proposed method and verify its efficiency.

  • 4. Liu, K.
    et al.
    Selivanov, Anton
    KTH, Skolan för elektroteknik och datavetenskap (EECS), Intelligenta system, Reglerteknik.
    Fridman, E.
    Survey on time-delay approach to networked control2019Inngår i: Annual Reviews in Control, ISSN 1367-5788, E-ISSN 1872-9088, Vol. 48, s. 57-79Artikkel, forskningsoversikt (Fagfellevurdert)
    Abstract [en]

    This paper provides a survey on time-delay approach to networked control systems (NCSs). The survey begins from a brief summary on fundamental network-induced issues in NCSs and the main approaches to the modelling of NCSs. In particular, a comprehensive introduction to time-delay approach to sampled-data and networked control is provided. Then, recent results on time-delay approach to event-triggered control are recalled. The survey highlights time-delay approach developed to modelling, analysis and synthesis of NCSs, under communication constraints, with a particular focus on Round-Robin, Try-once-discard and stochastic protocols. The time-delay approach allows communication delays to be larger than the sampling intervals in the presence of scheduling protocols. Moreover, some results on networked control of distributed parameter systems are surveyed. Finally, conclusions and some future research directions are briefly addressed.

  • 5.
    Nekouei, Ehsan
    et al.
    KTH, Skolan för elektroteknik och datavetenskap (EECS), Reglerteknik.
    Tanaka, Takashi
    Univ Texas Austin, Austin, TX 78712 USA..
    Skoglund, Mikael
    KTH, Skolan för elektroteknik och datavetenskap (EECS), Teknisk informationsvetenskap.
    Johansson, Karl H.
    KTH, Skolan för elektroteknik och datavetenskap (EECS), Reglerteknik. KTH, Skolan för elektroteknik och datavetenskap (EECS), Centra, ACCESS Linnaeus Centre.
    Information-theoretic approaches to privacy in estimation and control2019Inngår i: Annual Reviews in Control, ISSN 1367-5788, E-ISSN 1872-9088, Vol. 47, s. 412-422Artikkel, forskningsoversikt (Fagfellevurdert)
    Abstract [en]

    Network control systems (NCSs) heavily rely on information and communication technologies for sharing information between sensors and controllers as well as controllers and actuators. When estimation, control or actuation tasks in a NCS are performed by an untrusted party, sharing information might result in the leakage of private information. The current paper reviews some of the recent results on the privacy-aware decision-making problems in NCSs. In particular, we focus on static and dynamic decision-making problems wherein privacy is measured using information-theoretic notions. We also review the applications of these problems in smart buildings and smart grids. 

  • 6.
    Yang, Tao
    et al.
    Univ North Texas, Dept Elect Engn, Denton, TX 76203 USA..
    Yi, Xinlei
    KTH, Skolan för elektroteknik och datavetenskap (EECS), Reglerteknik.
    Wu, Junfeng
    Zhejiang Univ, Coll Control Sci & Engn, Hangzhou 310027, Zhejiang, Peoples R China..
    Yuan, Ye
    Huazhong Univ Sci & Technol, Sch Artificial Intelligence & Automat, Wuhan 430074, Hubei, Peoples R China.;Huazhong Univ Sci & Technol, State Key Lab Digital Mfg Equipment & Technol, Wuhan 430074, Hubei, Peoples R China..
    Wu, Di
    Pacific Northwest Natl Lab, Richland, WA 99352 USA..
    Meng, Ziyang
    Tsinghua Univ, Dept Precis Instrument, Beijing 100084, Peoples R China.;Tsinghua Univ, State Key Lab Precis Measurement Technol & Instru, Beijing 100084, Peoples R China..
    Hong, Yiguang
    Chinese Acad Sci, Inst Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China..
    Wang, Hong
    Oak Ridge Natl Lab, Oak Ridge, TN 37932 USA..
    Lin, Zongli
    Univ Virginia, Charles L Brown Dept Elect & Comp Engn, Charlottesville, VA 22904 USA..
    Johansson, Karl H.
    KTH, Skolan för elektroteknik och datavetenskap (EECS), Reglerteknik.
    A survey of distributed optimization2019Inngår i: Annual Reviews in Control, ISSN 1367-5788, E-ISSN 1872-9088, Vol. 47, s. 278-305Artikkel, forskningsoversikt (Fagfellevurdert)
    Abstract [en]

    In distributed optimization of multi-agent systems, agents cooperate to minimize a global function which is a sum of local objective functions. Motivated by applications including power systems, sensor networks, smart buildings, and smart manufacturing, various distributed optimization algorithms have been developed. In these algorithms, each agent performs local computation based on its own information and information received from its neighboring agents through the underlying communication network, so that the optimization problem can be solved in a distributed manner. This survey paper aims to offer a detailed overview of existing distributed optimization algorithms and their applications in power systems. More specifically, we first review discrete-time and continuous-time distributed optimization algorithms for undirected graphs. We then discuss how to extend these algorithms in various directions to handle more realistic scenarios. Finally, we focus on the application of distributed optimization in the optimal coordination of distributed energy resources. 

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