What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Mathematical analysis
His main research concerns Control theory, Linear matrix inequality, Fuzzy logic, Remote sensing and Lyapunov function.
His study in Control theory, Markovian jump, Nonlinear system, Full state feedback and Singular systems is done as part of Control theory.
His research in Linear matrix inequality intersects with topics in Matrix calculus, Quadratic growth, Robust control and Markov model.
His Fuzzy control system study, which is part of a larger body of work in Fuzzy logic, is frequently linked to Dissipative system, bridging the gap between disciplines.
Qingling Zhang combines subjects such as Energy consumption, Urbanization, Dmsp ols and Vegetation with his study of Remote sensing.
He interconnects Linear system, Exponential stability and Numerical stability in the investigation of issues within Lyapunov function.
His most cited work include:
- Mapping urbanization dynamics at regional and global scales using multi-temporal DMSP/OLS nighttime light data (383 citations)
- The Vegetation Adjusted NTL Urban Index: A new approach to reduce saturation and increase variation in nighttime luminosity (213 citations)
- Stability Analysis for Neural Networks With Time-Varying Delay Based on Quadratic Convex Combination (199 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Control theory, Control theory, Linear matrix inequality, Nonlinear system and Fuzzy logic.
His research related to Lyapunov function, Full state feedback, Exponential stability, Control system and Sliding mode control might be considered part of Control theory.
His studies deal with areas such as Descriptor systems and Applied mathematics as well as Lyapunov function.
As part of the same scientific family, Qingling Zhang usually focuses on Control theory, concentrating on Stability and intersecting with State.
In his study, Delay dependent is strongly linked to Singular systems, which falls under the umbrella field of Linear matrix inequality.
His Nonlinear system research incorporates themes from Observer, Bounded function and Robustness.
He most often published in these fields:
- Control theory (78.39%)
- Control theory (18.06%)
- Linear matrix inequality (16.94%)
What were the highlights of his more recent work (between 2017-2021)?
- Control theory (78.39%)
- Fuzzy logic (13.87%)
- Sliding mode control (9.03%)
In recent papers he was focusing on the following fields of study:
Qingling Zhang mainly focuses on Control theory, Fuzzy logic, Sliding mode control, Nonlinear system and Control theory.
His Control theory study typically links adjacent topics like Symmetric matrix.
His study on Fuzzy logic also encompasses disciplines like
- Interval which intersects with area such as Fuzzy set,
- Linear matrix inequality and related Matrix calculus, Singular systems and Discrete time and continuous time.
The Sliding mode control study which covers Matrix that intersects with Robust control.
Qingling Zhang has researched Nonlinear system in several fields, including Bounded function and Actuator.
His work deals with themes such as Stability, Control system, Upper and lower bounds and Function, which intersect with Control theory.
Between 2017 and 2021, his most popular works were:
- Switched Adaptive Fuzzy Tracking Control for a Class of Switched Nonlinear Systems Under Arbitrary Switching (90 citations)
- Remote sensing of night lights: A review and an outlook for the future (74 citations)
- Exploring the relevance and extent of small airways dysfunction in asthma (ATLANTIS) : baseline data from a prospective cohort study (71 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Artificial intelligence
- Mathematical analysis
Qingling Zhang focuses on Control theory, Fuzzy logic, Nonlinear system, Sliding mode control and Backstepping.
His work is connected to Observer, Control theory, Lyapunov function, Adaptive system and Linear matrix inequality, as a part of Control theory.
His study in Linear matrix inequality is interdisciplinary in nature, drawing from both Matrix and Discrete time and continuous time.
His biological study focuses on Fuzzy control system.
While the research belongs to areas of Nonlinear system, Qingling Zhang spends his time largely on the problem of State variable, intersecting his research to questions surrounding Structure, Ball and beam and Dynamical system.
His Sliding mode control research integrates issues from Surface, Symmetric matrix and Reduced order.
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