Prof. S C Patwardhan

Areas Of Expertise

• Embedded Systems
• IEC 1131-3
• Process control
• Programming Language
• Orthonormal basis filters
• Output error models
• State observers
• Time delay estimation
• Unmeasured disturbance modeling
• Fault detection and isolation (FDI)
• Fuzzy c-means clustering (FCM)
• Fuzzy clustering
• Possibilistic clustering
• Fault tolerant control
• Innovations form of state space model
• Likelihood ratio method
• Model predictive control
• Regulatory performance
• Unmeasured disturbances
• Correspondence analysis (CA)
• Dynamic PCA (DPCA)
• Fault detection and diagnosis (FDD)
• Principal components analysis (PCA)
• Artificial Neural Networks
• Data-driven models
• Generic model control
• Semi-batch reactors
• Trajectory tracking
• Inferential estimation
• Irregular sampling
• Multirate systems
• Nonlinear model predictive control
• Nonlinear observers
• Benchmark simulation
• Disturbance
• Experimental validation
• First-principles model
• Hybrid model
• Performance analysis
• System identification
• Arrival cost
• Constrained ensemble kalman filter
• Moving horizon estimation
• Large-scale applications
• Nmpc
• Robust strategy
• High-gain observer
• Output-feedback system
• Robust controller
• Identification
• Systems
• Diagnosis
• Controller performance monitoring
• Internal model control
• Model-plant mismatch
• Partial correlation analysis
• Fault-tolerant control
• Model-predictive control
• Nonlinear process systems
• Orthonormal basis filters
• Observers
• Design
• Control at optimum
• Fast NMPC
• Input multiplicities
• Multidimensional quadratic polynomials
• Wiener model
• Hybrid systems
• Unscented kalman filter
• Extended Kalman filter
• Failure tolerance
• Fault diagnosis and accommodation
• Generalized likelihood ratio method
• GLR method
• Robust fault diagnosis
• Unknown input observer
• Implementation
• Optimization
• Algorithm
• Linear quadratic Gaussian control
• PEMFC
• Time series models
• Moving-horizon estimation
• Bayesian-estimation
• Data reconciliation
• approximations
• State observers
• Autonomous hybrid system
• Ensemble Kalman filter
• Nonlinear model predictive controller
• State estimation based NMPC
• Unscented kalman filter
• Adaptive model predictive control
• Constrained state estimation
• Pseudo-linear regression
• Recursive parameter estimation
• Performance assessment
• ARX models
• Distillation column
• Fractional order model
• Multi-step-ahead prediction
• Orthonormal basis filter
• Prediction models
• Simulation models
• Adaptive optimizing control
• Fuel cell
• Nonlinear internal model control