Peng Shi

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 149 Citations 79,315 1,124 World Ranking 2 National Ranking 1

Research.com Recognitions

Awards & Achievements

2020 - Member of Academia Europaea

2015 - IEEE Fellow For contributions to control and filtering techniques for hybrid dynamical systems

What is he best known for?

The fields of study he is best known for:

• Control theory
• Artificial intelligence
• Statistics

Peng Shi mainly focuses on Control theory, Nonlinear system, Control theory, Fuzzy logic and Fuzzy control system. His study looks at the intersection of Control theory and topics like Artificial neural network with Synchronization. His Nonlinear system research incorporates themes from Observer, Bounded function and Adaptive system.

His work in Control theory tackles topics such as Control system which are related to areas like Telecommunications network and Network packet. His Fuzzy logic research integrates issues from Mathematical optimization, Linearization and Fault detection and isolation. His studies deal with areas such as Fuzzy set and Dissipative system as well as Fuzzy control system.

His most cited work include:

• Stability and Stabilization of Switched Linear Systems With Mode-Dependent Average Dwell Time (673 citations)
• On designing of sliding-mode control for stochastic jump systems (552 citations)
• State Estimation and Sliding-Mode Control of Markovian Jump Singular Systems (518 citations)

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

His main research concerns Control theory, Nonlinear system, Control theory, Fuzzy logic and Lyapunov function. His study in Exponential stability, Linear matrix inequality, Fuzzy control system, Discrete time and continuous time and Control system falls within the category of Control theory. His work in Linear matrix inequality addresses issues such as Linear system, which are connected to fields such as Filter.

The concepts of his Nonlinear system study are interwoven with issues in Observer, Artificial neural network and Bounded function. His study looks at the relationship between Control theory and fields such as Actuator, as well as how they intersect with chemical problems. His research brings together the fields of Mathematical optimization and Fuzzy logic.

He most often published in these fields:

• Control theory (95.44%)
• Nonlinear system (28.02%)
• Control theory (23.65%)

What were the highlights of his more recent work (between 2019-2021)?

• Control theory (95.44%)
• Nonlinear system (28.02%)
• Control theory (23.65%)

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

His scientific interests lie mostly in Control theory, Nonlinear system, Control theory, Fuzzy logic and Control. His study in Lyapunov function, Fuzzy control system, Control system, Sliding mode control and Backstepping are all subfields of Control theory. The study incorporates disciplines such as Markov chain and Stability in addition to Lyapunov function.

His Nonlinear system research is multidisciplinary, incorporating elements of Artificial neural network, Robustness and Filter design. Peng Shi combines subjects such as Exponential stability and Stability theory with his study of Control theory. Peng Shi works mostly in the field of Fuzzy logic, limiting it down to topics relating to Asynchronous communication and, in certain cases, Hidden Markov model.

Between 2019 and 2021, his most popular works were:

• A Sustainable Solid Electrolyte Interphase for High‐Energy‐Density Lithium Metal Batteries Under Practical Conditions (53 citations)
• Consensus Tracking Control of Switched Stochastic Nonlinear Multiagent Systems via Event-Triggered Strategy (44 citations)
• Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review (40 citations)

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

• Control theory
• Artificial intelligence
• Statistics

His primary areas of investigation include Control theory, Nonlinear system, Control theory, Multi-agent system and Topology. His Artificial neural network research extends to Control theory, which is thematically connected. His studies in Nonlinear system integrate themes in fields like Bounded function, Filter and Markov process.

His study in Control theory is interdisciplinary in nature, drawing from both Control, Exponential stability and Computer simulation. His research investigates the connection between Topology and topics such as Lyapunov function that intersect with issues in Markov chain. His work focuses on many connections between Fuzzy control system and other disciplines, such as Asynchronous communication, that overlap with his field of interest in Fuzzy logic.

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.

Best Publications

Stability and Stabilization of Switched Linear Systems With Mode-Dependent Average Dwell Time

Xudong Zhao;Lixian Zhang;Peng Shi;Ming Liu.
IEEE Transactions on Automatic Control (2012)

679 Citations

Brief paper: Stability of switched positive linear systems with average dwell time switching

Xudong Zhao;Lixian Zhang;Peng Shi;Ming Liu.
Automatica (2012)

644 Citations

On designing of sliding-mode control for stochastic jump systems

Peng Shi;Yuanqing Xia;G.P. Liu;D. Rees.
IEEE Transactions on Automatic Control (2006)

635 Citations

Technical communique: Sliding mode control with bounded L 2 gain performance of Markovian jump singular time-delay systems

Ligang Wu;Xiaojie Su;Peng Shi.
Automatica (2012)

614 Citations

State Estimation and Sliding-Mode Control of Markovian Jump Singular Systems

Ligang Wu;Peng Shi;Huijun Gao.
IEEE Transactions on Automatic Control (2010)

596 Citations

Control of Markovian jump discrete-time systems with norm bounded uncertainty and unknown delay

Peng Shi;E.-K. Boukas;R.K. Agarwal.
IEEE Transactions on Automatic Control (1999)

552 Citations

A New Approach to Stability Analysis and Stabilization of Discrete-Time T-S Fuzzy Time-Varying Delay Systems

Ligang Wu;Xiaojie Su;Peng Shi;Jianbin Qiu.
systems man and cybernetics (2011)

544 Citations

Stability, ${l}_{2}$ -Gain and Asynchronous ${H}_{{\infty}}$ Control of Discrete-Time Switched Systems With Average Dwell Time

Lixian Zhang;Peng Shi.
IEEE Transactions on Automatic Control (2009)

485 Citations

Reliable Fuzzy Control for Active Suspension Systems With Actuator Delay and Fault

Hongyi Li;Honghai Liu;Huijun Gao;Peng Shi.
IEEE Transactions on Fuzzy Systems (2012)

483 Citations

Fault-tolerant control of Markovian jump stochastic systems via the augmented sliding mode observer approach

Hongyi Li;Huijun Gao;Huijun Gao;Peng Shi;Peng Shi;Xudong Zhao.
Automatica (2014)

482 Citations

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