H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering H-index 50 Citations 11,165 143 World Ranking 1147 National Ranking 526
Computer Science H-index 53 Citations 10,874 144 World Ranking 2401 National Ranking 1282

Research.com Recognitions

Awards & Achievements

1998 - IEEE Fellow For contributions to supervisory control and its industrial applications.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Programming language
  • Control theory

Bruce H. Krogh spends much of his time researching Hybrid system, Algorithm, Control system, Control theory and State space. The Hybrid system study combines topics in areas such as Model checking, Formal verification, Theoretical computer science, Transition system and Computation. As part of the same scientific family, Bruce H. Krogh usually focuses on Computation, concentrating on Distributed computing and intersecting with Network dynamics and Application software.

His Control system research is multidisciplinary, relying on both Path, Remotely operated underwater vehicle and Vehicle dynamics. His Control theory research incorporates themes from State, Model predictive control and Supervisory control. His study looks at the relationship between Supervisory control and fields such as Discrete system, as well as how they intersect with chemical problems.

His most cited work include:

  • Distributed model predictive control (803 citations)
  • Energy-efficient surveillance system using wireless sensor networks (650 citations)
  • Deadlock avoidance in flexible manufacturing systems with concurrently competing process flows (481 citations)

What are the main themes of his work throughout his whole career to date?

Bruce H. Krogh mainly focuses on Control engineering, Control theory, Control system, Hybrid system and Theoretical computer science. His studies in Control engineering integrate themes in fields like Real-time computing, Mobile robot and Fault detection and isolation. His Control theory study incorporates themes from Mathematical optimization, State, Electric power system and Supervisory control.

In his research, Discrete system is intimately related to Petri net, which falls under the overarching field of Supervisory control. His biological study spans a wide range of topics, including Automation, Systems engineering, Automatic control, Control and Control theory. His Hybrid system study combines topics from a wide range of disciplines, such as Set, State space and Algorithm, Formal verification, Computation.

He most often published in these fields:

  • Control engineering (24.49%)
  • Control theory (24.49%)
  • Control system (22.45%)

What were the highlights of his more recent work (between 2008-2020)?

  • Distributed computing (9.80%)
  • Control engineering (24.49%)
  • Control theory (24.49%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Distributed computing, Control engineering, Control theory, Cyber-physical system and Theoretical computer science. Bruce H. Krogh has included themes like Control and Data center in his Distributed computing study. His work deals with themes such as Electric power system and Reinforcement learning, which intersect with Control engineering.

His work in Control theory addresses subjects such as Formal verification, which are connected to disciplines such as Behavioral modeling. His study in Cyber-physical system is interdisciplinary in nature, drawing from both Software architecture, Computation, Rotation formalisms in three dimensions and Systems modeling. His research in Real-time computing intersects with topics in Telecommunications and Wireless sensor network.

Between 2008 and 2020, his most popular works were:

  • Wind Integration in Power Systems: Operational Challenges and Possible Solutions (299 citations)
  • A Cyber–Physical Systems Approach to Data Center Modeling and Control for Energy Efficiency (127 citations)
  • A cyber-physical systems approach to energy management in data centers (76 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Programming language
  • Control theory

Bruce H. Krogh focuses on Cyber-physical system, Hybrid system, Distributed computing, Nonlinear system and Control engineering. His Hybrid system research is under the purview of Control theory. His study looks at the intersection of Control theory and topics like Bounded function with Formal verification.

His Distributed computing research is multidisciplinary, incorporating elements of Model checking, View model, Embedded system, Computation and Systems architecture. His Nonlinear system study integrates concerns from other disciplines, such as State variable and State space. His Control engineering research includes themes of Leverage and Reinforcement learning.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Distributed model predictive control

E. Camponogara;D. Jia;B.H. Krogh;S. Talukdar.
IEEE Control Systems Magazine (2002)

1084 Citations

Energy-efficient surveillance system using wireless sensor networks

Tian He;Sudha Krishnamurthy;John A. Stankovic;Tarek Abdelzaher.
international conference on mobile systems, applications, and services (2004)

949 Citations

Deadlock avoidance in flexible manufacturing systems with concurrently competing process flows

Z.A. Banaszak;B.H. Krogh.
international conference on robotics and automation (1990)

695 Citations

VigilNet: An integrated sensor network system for energy-efficient surveillance

Tian He;Sudha Krishnamurthy;Liqian Luo;Ting Yan.
ACM Transactions on Sensor Networks (2006)

666 Citations

A Survey of Petri Net Methods for Controlled Discrete EventSystems

L. E. Holloway;B. H. Krogh;A. Giua.
Discrete Event Dynamic Systems (1997)

536 Citations

Synthesis of feedback control logic for a class of controlled Petri nets

L.E. Holloway;B.H. Krogh.
IEEE Transactions on Automatic Control (1990)

511 Citations

Wind Integration in Power Systems: Operational Challenges and Possible Solutions

Le Xie;Pedro M S Carvalho;Luis A F M Ferreira;Juhua Liu.
Proceedings of the IEEE (2011)

456 Citations

Computational techniques for hybrid system verification

A. Chutinan;B.H. Krogh.
IEEE Transactions on Automatic Control (2003)

411 Citations

Integrated path planning and dynamic steering control for autonomous vehicles

B. Krogh;C. Thorpe.
international conference on robotics and automation (1986)

361 Citations

Verification of Polyhedral-Invariant Hybrid Automata Using Polygonal Flow Pipe Approximations

Alongkrit Chutinan;Bruce H. Krogh.
acm international conference hybrid systems computation and control (1999)

336 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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