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Prashant Mhaskar

Prashant Mhaskar

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
41
Citations
6444
World Ranking
4318
National Ranking
201

Overview

Prashant Mhaskar is affiliated with McMaster University in Canada and specializes in engineering, with a focus on control and systems engineering. Their research portfolio demonstrates extensive work in the intersection of advanced control systems and process optimization, employing both theoretical and applied methodologies within the field.

The scientist has contributed to numerous publications primarily within engineering and chemical engineering domains. Their frequent publication venues include:

  • Computers & Chemical Engineering
  • Industrial & Engineering Chemistry Research
  • AIChE Journal
  • The Canadian Journal of Chemical Engineering
  • Process Safety and Environmental Protection

Prashant Mhaskar's body of work spans several key topics, including:

  • Fault Detection and Control Systems
  • Advanced Control Systems Optimization
  • Control Systems and Identification
  • Process Optimization and Integration
  • Spectroscopy and Chemometric Analyses
  • Mineral Processing and Grinding
  • Viral Infectious Diseases and Gene Expression in Insects

Some notable recent papers authored by Prashant Mhaskar include:

  • Integrating dynamic neural network models with principal component analysis for adaptive model predictive control, 2020, Process Safety and Environmental Protection
  • A hybrid modeling approach integrating first-principles knowledge with statistical methods for fault detection in HVAC systems, 2020, Computers & Chemical Engineering
  • Adaptive system identification of industrial ethylene splitter: A comparison of subspace identification and artificial neural networks, 2021, Computers & Chemical Engineering
  • Model Predictive Control Embedding a Parallel Hybrid Modeling Strategy, 2021, Industrial & Engineering Chemistry Research
  • Artificial Neural Network-Based Model Predictive Control Using Correlated Data, 2022, Industrial & Engineering Chemistry Research

The scientist's research integrates techniques from multiple subfields, such as mechanical engineering, analytical chemistry, molecular biology, and artificial intelligence. They have been involved in applying control theory and advanced computational methods to optimize complex industrial and chemical engineering processes.

Collaboration is a significant component of their work. Frequent coauthors include:

  • Brandon Corbett
  • Hesam Hassanpour
  • Aswin Chandrasekar
  • Nikesh Patel
  • Vladimir Mahalec

Overall, the scientific contributions of Prashant Mhaskar center on system identification, model predictive control, and hybrid modeling approaches, which align with the broader fields of fault detection and advanced control system optimization in engineering contexts.

Best Publications

  • Predictive control of switched nonlinear systems with scheduled mode transitions

    P. Mhaskar;N.H. El-Farra;P.D. Christofides

  • Stabilization of nonlinear systems with state and control constraints using Lyapunov-based predictive control☆

    Prashant Mhaskar;Nael H. El-Farra;Panagiotis D. Christofides

  • Output feedback control of switched nonlinear systems using multiple Lyapunov functions

    Nael H. El-Farra;Prashant Mhaskar;Panagiotis D. Christofides

  • Predictive control of particle size distribution in particulate processes

    Dan Shi;Nael H. El-Farra;Mingheng Li;Prashant Mhaskar

  • Isolation and handling of actuator faults in nonlinear systems

    Prashant Mhaskar;Charles McFall;Adiwinata Gani;Panagiotis D. Christofides

  • Integrated fault-detection and fault-tolerant control of process systems

    Prashant Mhaskar;Adiwinata Gani;Nael H. El-Farra;Charles McFall

  • Predictive control of parabolic PDEs with state and control constraints

    Stevan Dubljevic;Nael H. El-Farra;Prashant Mhaskar;Panagiotis D. Christofides

  • Robust Model Predictive Control Design for Fault-Tolerant Control of Process Systems

    Prashant Mhaskar

  • Predictive control of transport-reaction processes

    Stevan Dubljevic;Prashant Mhaskar;Nael H. El-Farra;Panagiotis D. Christofides

  • Robust hybrid predictive control of nonlinear systems

    Prashant Mhaskar;Nael H. El-Farra;Panagiotis D. Christofides

  • Predictive control of crystal size distribution in protein crystallization.

    Dan Shi;Prashant Mhaskar;Nael H El-Farra;Panagiotis D Christofides

  • Subspace identification for data‐driven modeling and quality control of batch processes

    Brandon Corbett;Prashant Mhaskar

  • Fault-Tolerant Control of Nonlinear Processes: Performance-Based Reconfiguration and Robustness

    P. Mhaskar;A. Gani;P.D. Christofides

  • Predictive control methods to improve energy efficiency and reduce demand in buildings

    Tim Salsbury;Prashant Mhaskar;S. Joe Qin

  • Isolation and handling of sensor faults in nonlinear systems

    Unknown

  • Modeling and fault diagnosis design for HVAC systems using recurrent neural networks

    Hadi Shahnazari;Prashant Mhaskar;John M. House;Timothy I. Salsbury

  • Fault‐tolerant control of nonlinear process systems subject to sensor faults

    Prashant Mhaskar;Adiwinata Gani;Charles McFall;Panagiotis D. Christofides

  • Latent Variable Model Predictive Control (LV-MPC) for trajectory tracking in batch processes

    Masoud Golshan;John F. MacGregor;Mark-John Bruwer;Prashant Mhaskar

  • Robust predictive control of switched systems: Satisfying uncertain schedules subject to state and control constraints

    Prashant Mhaskar;Nael H. El-Farra;Panagiotis D. Christofides

  • Model-Based Control of Particulate Processes

    Panagiotis D. Christofides;Nael El-Farra;Mingheng Li;Prashant Mhaskar

  • Energy efficient model predictive building temperature control

    Matt Wallace;Ryan McBride;Siam Aumi;Prashant Mhaskar

  • Output feedback control of switched nonlinear systems using multiple Lyapunov functions

    N.H. EI-Farra;Prashant Mhaskar;P.D. Christofides

Frequent Co-Authors

Nael H. El-Farra
Nael H. El-Farra University of California, Davis
Jinfeng Liu
Jinfeng Liu University of Alberta

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