What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Artificial intelligence
- Control theory
Perinkulam S. Krishnaprasad spends much of his time researching Classical mechanics, Control theory, Mathematical analysis, Lie group and Symmetry group.
His studies in Classical mechanics integrate themes in fields like Complex system and Nonlinear system.
His research in Complex system intersects with topics in Shear, Convection, Linearization and Softening.
His study in the field of Control system is also linked to topics like Missile guidance.
His study in Mathematical analysis focuses on Conservation law in particular.
His work carried out in the field of Symmetry group brings together such families of science as Curvature, Lyapunov function and Equations of motion.
His most cited work include:
- Orthogonal matching pursuit: recursive function approximation with applications to wavelet decomposition (3414 citations)
- Nonholonomic Mechanical Systems with Symmetry (670 citations)
- Analysis and synthesis of feedforward neural networks using discrete affine wavelet transformations (388 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Control theory, Nonlinear system, Classical mechanics, Lie group and Mathematical analysis.
His Control theory research is multidisciplinary, incorporating elements of Control engineering and Motion control.
His Nonlinear system research incorporates elements of Algorithm, Particle filter and Mathematical optimization.
He interconnects Complex system and Rigidity in the investigation of issues within Classical mechanics.
His biological study spans a wide range of topics, including Symmetry and Symmetry group.
His studies in Discrete mathematics integrate themes in fields like Transfer function and Wavelet transform.
He most often published in these fields:
- Control theory (36.45%)
- Nonlinear system (22.90%)
- Classical mechanics (18.22%)
What were the highlights of his more recent work (between 2003-2020)?
- Control theory (36.45%)
- Motion camouflage (6.07%)
- Artificial intelligence (8.41%)
In recent papers he was focusing on the following fields of study:
Perinkulam S. Krishnaprasad mainly investigates Control theory, Motion camouflage, Artificial intelligence, Lie group and Optimal control.
His Control theory research includes themes of Algorithm, Plane and Wavefront.
His work deals with themes such as Particle filter and Linear combination, which intersect with Algorithm.
His Motion camouflage research includes elements of Work, Pursuer, Limit and Motion control.
His Artificial intelligence research is multidisciplinary, relying on both Computer vision and Microphone.
His research integrates issues of Class, Mathematical analysis and Symmetry group in his study of Lie group.
Between 2003 and 2020, his most popular works were:
- Equilibria and Steering Laws for Planar Formations (356 citations)
- Approximate inversion of the Preisach hysteresis operator with application to control of smart actuators (175 citations)
- Echolocating bats use a nearly time-optimal strategy to intercept prey. (170 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Artificial intelligence
- Control theory
His main research concerns Control theory, Motion camouflage, Motion control, Pursuer and Artificial intelligence.
Perinkulam S. Krishnaprasad has researched Control theory in several fields, including Space, Preisach model of hysteresis, Fixed point and Inverse problem.
Space is a subfield of Mathematical analysis that Perinkulam S. Krishnaprasad explores.
While the research belongs to areas of Motion camouflage, Perinkulam S. Krishnaprasad spends his time largely on the problem of Work, intersecting his research to questions surrounding Connection, Focus, Variety and Limit.
His Motion control study integrates concerns from other disciplines, such as Gravitation, Statistical physics and Celestial mechanics.
The Artificial intelligence study combines topics in areas such as Basis, Insectivore and Computer vision.
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