Publications (50)
Integration of an Energy Management Tool and Digital Twin for Coordination and Control of Multi-vector Smart Energy Systems
Edward O'Dwyer, Indranil Pan, Richard Charlesworth +2
As Internet of Things (IoT) technologies enable greater communication between energy assets in smart cities, the operational coordination of various energy networks in a city or di…
Global solar irradiation prediction using a multi-gene genetic programming approach
Indranil Pan, Daya Shankar Pandey, Saptarshi Das
In this paper, a nonlinear symbolic regression technique using an evolutionary algorithm known as multi-gene genetic programming (MGGP) is applied for a data-driven modelling betwe…
Optimum Weight Selection Based LQR Formulation for the Design of Fractional Order PIλDμ Controllers to Handle a Class of Fractional Order Systems
Saptarshi Das, Indranil Pan, Kaushik Halder +2
A weighted summation of Integral of Time Multiplied Absolute Error (ITAE) and Integral of Squared Controller Output (ISCO) minimization based time domain optimal tuning of fraction…
Artificial Neural Network Based Prediction of Optimal Pseudo-Damping and Meta-Damping in Oscillatory Fractional Order Dynamical Systems
Saptarshi Das, Indranil Pan, Khrist Sur +1
This paper investigates typical behaviors like damped oscillations in fractional order (FO) dynamical systems. Such response occurs due to the presence of, what is conceived as, ps…
Identification of Nonlinear Systems From the Knowledge Around Different Operating Conditions: A Feed-Forward Multi-Layer ANN Based Approach
Sayan Saha, Saptarshi Das, Anish Acharya +4
The paper investigates nonlinear system identification using system output data at various linearized operating points. A feed-forward multi-layer Artificial Neural Network (ANN) b…
Design of Hybrid Regrouping PSO-GA based Sub-optimal Networked Control System with Random Packet Losses
Indranil Pan, Saptarshi Das
In this paper, a new approach has been presented to design sub-optimal state feedback regulators over Networked Control Systems (NCS) with random packet losses. The optimal regulat…
Optimizing Continued Fraction Expansion Based IIR Realization of Fractional Order Differ-Integrators with Genetic Algorithm
Saptarshi Das, Basudev Majumder, Anindya Pakhira +3
Rational approximation of fractional order (FO) differ-integrators via Continued Fraction Expansion (CFE) is a well known technique. In this paper, the nominal structures of variou…
Performance Comparison of Optimal Fractional Order Hybrid Fuzzy PID Controllers for Handling Oscillatory Fractional Order Processes with Dead Time
Saptarshi Das, Indranil Pan, Shantanu Das
Fuzzy logic based PID controllers have been studied in this paper, considering several combinations of hybrid controllers by grouping the proportional, integral and derivative acti…
Kriging based Surrogate Modeling for Fractional Order Control of Microgrids
Indranil Pan, Saptarshi Das
This paper investigates the use of fractional order (FO) controllers for a microgrid. The microgrid employs various autonomous generation systems like wind turbine generator (WTG),…
Rule-based Evolutionary Bayesian Learning
Themistoklis Botsas, Lachlan R. Mason, Omar K. Matar +1
In our previous work, we introduced the rule-based Bayesian Regression, a methodology that leverages two concepts: (i) Bayesian inference, for the general framework and uncertainty…
On the Mixed H2/H-infinity Loop Shaping Trade-offs in Fractional Order Control of the AVR System
Saptarshi Das, Indranil Pan
This paper looks at frequency domain design of a fractional order (FO) PID controller for an Automatic Voltage Regulator (AVR) system. Various performance criteria of the AVR syste…
Embedded Network Test-Bed for Validating Real-Time Control Algorithms to Ensure Optimal Time Domain Performance
Ayan Mukherjee, Anindya Pakhira, Saptarshi Das +2
The paper presents a Stateflow based network test-bed to validate real-time optimal control algorithms. Genetic Algorithm (GA) based time domain performance index minimization is a…
LQR based improved discrete PID controller design via optimum selection of weighting matrices using fractional order integral performance index
Saptarshi Das, Indranil Pan, Kaushik Halder +2
The continuous and discrete time Linear Quadratic Regulator (LQR) theory has been used in this paper for the design of optimal analog and discrete PID controllers respectively. The…
Artificial neural network based modelling approach for municipal solid waste gasification in a fluidized bed reactor
Daya Shankar Pandey, Saptarshi Das, Indranil Pan +2
In this paper, multi-layer feed forward neural networks are used to predict the lower heating value of gas (LHV), lower heating value of gasification products including tars and en…
Fuzzy Bayesian Learning
Indranil Pan, Dirk Bester
In this paper we propose a novel approach for learning from data using rule based fuzzy inference systems where the model parameters are estimated using Bayesian inference and Mark…
Improved Model Reduction and Tuning of Fractional Order PIλDμ Controllers for Analytical Rule Extraction with Genetic Programming
Saptarshi Das, Indranil Pan, Shantanu Das +1
Genetic Algorithm (GA) has been used in this paper for a new approach of sub-optimal model reduction in the Nyquist plane and optimal time domain tuning of PID and fractional order…
Continuous Order Identification of PHWR Models Under Step-back for the Design of Hyper-damped Power Tracking Controller with Enhanced Reactor Safety
Saptarshi Das, Sumit Mukherjee, Shantanu Das +2
In this paper, discrete time higher integer order linear transfer function models have been identified first for a 500 MWe Pressurized Heavy Water Reactor (PHWR) which has highly n…
Chaotic multi-objective optimization based design of fractional order PIλDμ controller in AVR system
Indranil Pan, Saptarshi Das
In this paper, a fractional order (FO) PIλDμcontroller is designed to take care of various contradictory objective functions for an Automatic Voltage Regulator (AVR) system. An i…
Optimum PID Control of Multi-wing Attractors in A Family of Lorenz-like Chaotic Systems
Anish Acharya, Saptarshi Das, Indranil Pan
Multi-wing chaotic attractors are highly complex nonlinear dynamical systems with higher number of index-2 equilibrium points. Due to the presence of several equilibrium points, ra…
Multi-objective LQR with Optimum Weight Selection to Design FOPID Controllers for Delayed Fractional Order Processes
Saptarshi Das, Indranil Pan, Shantanu Das
An optimal trade-off design for fractional order (FO)-PID controller is proposed in this paper with a Linear Quadratic Regulator (LQR) based technique using two conflicting time do…
Comparative Studies on Decentralized Multiloop PID Controller Design Using Evolutionary Algorithms
Sayan Saha, Saptarshi Das, Anindya Pakhira +2
Decentralized PID controllers have been designed in this paper for simultaneous tracking of individual process variables in multivariable systems under step reference input. The co…
Data-driven surrogate modelling and benchmarking for process equipment
Gabriel F. N. Gonçalves, Assen Batchvarov, Yuyi Liu +4
In chemical process engineering, surrogate models of complex systems are often necessary for tasks of domain exploration, sensitivity analysis of the design parameters, and optimiz…
Numerical simulation, clustering and prediction of multi-component polymer precipitation
Pavan Inguva, Lachlan Mason, Indranil Pan +2
Multi-component polymer systems are of interest in organic photovoltaic and drug delivery applications, among others where diverse morphologies influence performance. An improved u…
A Novel Fractional Order Fuzzy PID Controller and Its Optimal Time Domain Tuning Based on Integral Performance Indices
Saptarshi Das, Indranil Pan, Shantanu Das +1
A novel fractional order (FO) fuzzy Proportional-Integral-Derivative (PID) controller has been proposed in this paper which works on the closed loop error and its fractional deriva…
Evolving Chaos: Identifying New Attractors of the Generalised Lorenz Family
Indranil Pan, Saptarshi Das
In a recent paper, we presented an intelligent evolutionary search technique through genetic programming (GP) for finding new analytical expressions of nonlinear dynamical systems,…
Genetic Algorithm Based Improved Sub-Optimal Model Reduction in Nyquist Plane for Optimal Tuning Rule Extraction of PID and PIλDμ Controllers via Genetic Programming
Saptarshi Das, Indranil Pan, Shantanu Das +1
Genetic Algorithm (GA) has been used in this paper for a new Nyquist based sub-optimal model reduction and optimal time domain tuning of PID and fractional order (FO) PIλDμ contr…
Data-Centric Engineering: integrating simulation, machine learning and statistics. Challenges and Opportunities
Indranil Pan, Lachlan Mason, Omar Matar
Recent advances in machine learning, coupled with low-cost computation, availability of cheap streaming sensors, data storage and cloud technologies, has led to widespread multi-di…
Rule-based Bayesian regression
Themistoklis Botsas, Lachlan R. Mason, Indranil Pan
We introduce a novel rule-based approach for handling regression problems. The new methodology carries elements from two frameworks: (i) it provides information about the uncertain…
Handling Packet Dropouts and Random Delays for Unstable Delayed Processes in NCS by Optimal Tuning of PIλDμ Controllers with Evolutionary Algorithms
Indranil Pan, Saptarshi Das, Amitava Gupta
The issues of stochastically varying network delays and packet dropouts in Networked Control System (NCS) applications have been simultaneously addressed by time domain optimal tun…
Estimation, Analysis and Smoothing of Self-Similar Network Induced Delays in Feedback Control of Nuclear Reactors
Basudev Majumder, Saptarshi Das, Indranil Pan +3
This paper analyzes a nuclear reactor power signal that suffers from network induced random delays in the shared data network while being fed-back to the Reactor Regulating System…
Multi-objective optimization framework for networked predictive controller design
Sourav Das, Saptarshi Das, Indranil Pan
Networked Control Systems (NCSs) often suffer from random packet dropouts which deteriorate overall system's stability and performance. To handle the ill effects of random packet l…
Stabilizing Gain Selection of Networked Variable Gain Controller to Maximize Robustness Using Particle Swarm Optimization
Indranil Pan, Saptarshi Das, Soumyajit Ghosh +1
Networked Control Systems (NCSs) are often associated with problems like random data losses which might lead to system instability. This paper proposes a method based on the use of…
Frequency Domain Design of Fractional Order PID Controller for AVR System Using Chaotic Multi-objective Optimization
Indranil Pan, Saptarshi Das
A fractional order (FO) PID or FOPID controller is designed for an Automatic Voltage Regulator (AVR) system with the consideration of contradictory performance objectives. An impro…
Multiphase flow applications of non-intrusive reduced-order models with Gaussian process emulation
Themistoklis Botsas, Indranil Pan, Lachlan R. Mason +1
Reduced-order models (ROMs) are computationally inexpensive simplifications of high-fidelity complex ones. Such models can be found in computational fluid dynamics where they can b…
Effect of Random Parameter Switching on Commensurate Fractional Order Chaotic Systems
Saptarshi Das, Indranil Pan, Shantanu Das
The paper explores the effect of random parameter switching in a fractional order (FO) unified chaotic system which captures the dynamics of three popular sub-classes of chaotic sy…
When Darwin meets Lorenz: Evolving new chaotic attractors through genetic programming
Indranil Pan, Saptarshi Das
In this paper, we propose a novel methodology for automatically finding new chaotic attractors through a computational intelligence technique known as multi-gene genetic programmin…
Marginal likelihood based model comparison in Fuzzy Bayesian Learning
Indranil Pan, Dirk Bester
In a recent paper [1] we introduced the Fuzzy Bayesian Learning (FBL) paradigm where expert opinions can be encoded in the form of fuzzy rule bases and the hyper-parameters of the…
Simulation studies on the design of optimum PID controllers to suppress chaotic oscillations in a family of Lorenz-like multi-wing attractors
Saptarshi Das, Anish Acharya, Indranil Pan
Multi-wing chaotic attractors are highly complex nonlinear dynamical systems with higher number of index-2 equilibrium points. Due to the presence of several equilibrium points, ra…
Fractional Order Load-Frequency Control of Interconnected Power Systems Using Chaotic Multi-objective Optimization
Indranil Pan, Saptarshi Das
Fractional order proportional-integral-derivative (FOPID) controllers are designed for load frequency control (LFC) of two interconnected power systems. Conflicting time domain des…
Towards a Global Controller Design for Guaranteed Synchronization of Switched Chaotic Systems
Indranil Pan, Saptarshi Das, Avijit Routh
In this paper, synchronization of identical switched chaotic systems is explored based on Lyapunov theory of guaranteed stability. Concepts from robust control principles and switc…
Symbolic Representation for Analog Realization of A Family of Fractional Order Controller Structures via Continued Fraction Expansion
Anindya Pakhira, Saptarshi Das, Indranil Pan +1
This paper uses the Continued Fraction Expansion (CFE) method for analog realization of fractional order differ-integrator and few special classes of fractional order (FO) controll…
Optimized Quality Factor of Fractional Order Analog Filters with Band-Pass and Band-Stop Characteristics
Anindya Pakhira, Saptarshi Das, Anish Acharya +2
Fractional order (FO) filters have been investigated in this paper, with band-pass (BP) and band-stop (BS) characteristics, which can not be achieved with conventional integer orde…
Multi-objective Active Control Policy Design for Commensurate and Incommensurate Fractional Order Chaotic Financial Systems
Indranil Pan, Saptarshi Das, Shantanu Das
In this paper, an active control policy design for a fractional order (FO) financial system is attempted, considering multiple conflicting objectives. An active control template as…
Fractional Order Fuzzy Control of Hybrid Power System with Renewable Generation Using Chaotic PSO
Indranil Pan, Saptarshi Das
This paper investigates the operation of a hybrid power system through a novel fuzzy control scheme. The hybrid power system employs various autonomous generation systems like wind…
Stabilization Based Networked Predictive Controller Design for Switched Plants
Avijit Routh, Sourav Das, Saptarshi Das +1
Stabilizing state feedback controller has been designed in this paper for a switched DC motor plant, controlled over communication network. The switched system formulation for the…
Fractional Order AGC for Distributed Energy Resources Using Robust Optimization
Indranil Pan, Saptarshi Das
The applicability of fractional order (FO) automatic generation control (AGC) for power system frequency oscillation damping is investigated in this paper, employing distributed en…
Adaptive Gain and Order Scheduling of Optimal Fractional Order PIλDμ Controllers with Radial Basis Function Neural-Network
Saptarshi Das, Sayan Saha, Ayan Mukherjee +2
Gain and order scheduling of fractional order (FO) PIλDμ controllers are studied in this paper considering four different classes of higher order processes. The mapping between t…
Fractional Order Fuzzy Control of Nuclear Reactor Power with Thermal-Hydraulic Effects in the Presence of Random Network Induced Delay and Sensor Noise having Long Range Dependence
Saptarshi Das, Indranil Pan, Shantanu Das
Nonlinear state space modeling of a nuclear reactor has been done for the purpose of controlling its global power in load following mode. The nonlinear state space model has been l…
Extending the Concept of Analog Butterworth Filter for Fractional Order Systems
Anish Acharya, Saptarshi Das, Indranil Pan +1
This paper proposes the design of Fractional Order (FO) Butterworth filter in complex w-plane (w=sq; q being any real number) considering the presence of under-damped, hyper-damped…
Latent-space time evolution of non-intrusive reduced-order models using Gaussian process emulation
Romit Maulik, Themistoklis Botsas, Nesar Ramachandra +2
Non-intrusive reduced-order models (ROMs) have recently generated considerable interest for constructing computationally efficient counterparts of nonlinear dynamical systems emerg…