H. Palanthandalam-Madapusi

发表

A comparison of least squares algorithms for estimating Markov parameters

Matthew S. Hölzel, Matthew S. Fledderjohn, D. Bernstein, 2010, Proceedings of the 2010 American Control Conference.

Harish J. Palanthandalam-Madapusi, Sachin Goyal, H. Palanthandalam-Madapusi, 2011 .

Subsystem identification for nonlinear model updating

D. Bernstein, B. De Moor, H. Palanthandalam-Madapusi, 2006, 2006 American Control Conference.

A Possible Explanation of How High-Frequency Deep Brain Stimulation Suppresses Low-Frequency Tremors in Parkinson’s Disease

Harish J. Palanthandalam-Madapusi, Vrutangkumar V. Shah, Sachin Goyal, 2017, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

A subspace algorithm for simultaneous identification and input reconstruction

Dennis S. Bernstein, Harish J. Palanthandalam-Madapusi, D. Bernstein, 2009 .

Experimental verification of observations relating to Parkinsonian tremor

Harish J. Palanthandalam-Madapusi, Vrutangkumar V. Shah, Sachin Goyal, 2014, 2014 American Control Conference.

Computational Rod Model With User-Defined Nonlinear Constitutive Laws

H. Palanthandalam-Madapusi, Sachin Goyal, S. Fatehiboroujeni, 2018, Journal of Computational and Nonlinear Dynamics.

COMPARISON OF THEORIES OF REST TREMOR MECHANISM IN PARKINSON’S DISEASE: CENTRAL OSCILLATOR (SOURCE-TRIGGERED OSCILLATIONS) AND FEEDBACK-INDUCED INSTABILITY IN THE SENSORIMOTOR LOOP (SELF-SUSTAINED OSCILLATIONS)

Vrutangkumar V. Shah, H. Palanthandalam-Madapusi, Sachin Goyal, 2020 .

Unbiased minimum-variance filtering for delayed input reconstruction

Katherine E. Fitch, H. Palanthandalam-Madapusi, 2011, Proceedings of the 2011 American Control Conference.

Dimensional Analysis of Matrices [Lecture Notes]

Dennis S. Bernstein, Harish J. Palanthandalam-Madapusi, Ravinder Venugopal, 2007 .

Explaining Parkinsonian postural sway variabilities using intermittent control theory.

Vrutangkumar V. Shah, H. Palanthandalam-Madapusi, Ranjita Dash, 2020, Journal of biomechanics.

Estimation of Nonlinear Three-dimensional Constitutive Law for DNA Molecules

H. Palanthandalam-Madapusi, Sachin Goyal, 2010, 1002.1102.

An Estimation Method of a Constitutive-law for the Rod Model of DNA using Discrete-Structure Simulations

H. Palanthandalam-Madapusi, Sachin Goyal, Adam R. Hinkle, 2009, 0906.1550.

Swirling Pendulum Dynamics and Control: A Pedagogical Perspective

Sujay D. Kadam, H. Palanthandalam-Madapusi, Shubhankar Riswadkar, 2022, 2022 American Control Conference (ACC).

A Machine-learning-based Method to Detect Degradation of Motor Control Stability with Applications to Diagnosis of Presymptomatic Parkinson’s Disease

Vrutangkumar V. Shah, H. Palanthandalam-Madapusi, Sachin Goyal, 2022, bioRxiv.

A Perspective on Using Input Reconstruction for Command Following

Sujay D. Kadam, Roshan A. Chavan, H. Palanthandalam-Madapusi, 2019, Circuits, Systems, and Signal Processing.

Gain-Constrained Kalman Filtering for Linear and Nonlinear Systems

Dennis S. Bernstein, Luis Antonio Aguirre, Bruno Otávio Soares Teixeira, 2008, IEEE Transactions on Signal Processing.

A note on invertibility and relative degree of MIMO LTI systems

Sujay D. Kadam, H. Palanthandalam-Madapusi, 2022, IFAC J. Syst. Control..

A Perspective on Using Input Reconstruction for Command Following

Sujay D. Kadam, Roshan A. Chavan, Abhijith Rajiv, 2019, Circuits, Systems, and Signal Processing.

Dimensional Analysis of Matrices State-Space Models and Dimensionless Units [Lecture Notes]

R. Venugopal, D. Bernstein, H. Palanthandalam-Madapusi, 2007, IEEE Control Systems.

Dimensional Analysis of Matrices

D. Bernstein, H. Palanthandalam-Madapusi, R. Venugopal, 2007 .

Parameter consistency and quadratically constrained errors-in-variables least-squares identification

Dennis S. Bernstein, Harish J. Palanthandalam-Madapusi, Tobin H. Van Pelt, 2010, Int. J. Control.

A subspace algorithm for simultaneous identification and input reconstruction

Dennis S. Bernstein, Harish J. Palanthandalam-Madapusi, D. Bernstein, 2007, 2007 46th IEEE Conference on Decision and Control.

State Estimation for Large-Scale Systems Based on Reduced-Order Error-Covariance Propagation

D.S. Bernstein, J. Chandrasekar, I.S. Kim, 2007, 2007 American Control Conference.

Diagnosis of Parkinson's disease: A limit cycle approach

Gaurav Kumar Singh, Harish J. Palanthandalam-Madapusi, Vrutangkumar V. Shah, 2013, 2013 IEEE International Conference on Control Applications (CCA).

Basis-function optimization for subspace-based nonlinear identification of systems with measured-input nonlinearities

D. Bernstein, J. Hoagg, H. Palanthandalam-Madapusi, 2004, Proceedings of the 2004 American Control Conference.

Space Weather Forecasting

Dennis Bernstein, Aaron Ridley, Harish Palanthandalam-Madapusi, 2007, IEEE Control Systems.

Change in task conditions leads to changes in intermittency in intermittent feedback control employed by CNS in control of human stance

H. Palanthandalam-Madapusi, Ranjita Dash, 2022, Biological Cybernetics.

A perspective on the use of high-frequency stimulation in deep brain stimulation for Parkinson's disease

Harish J. Palanthandalam-Madapusi, Vrutangkumar V. Shah, Sachin Goyal, 2016, 2016 Indian Control Conference (ICC).

Robust estimation of nonlinear constitutive law from static equilibrium data for modeling the mechanics of DNA

Harish J. Palanthandalam-Madapusi, Sachin Goyal, H. Palanthandalam-Madapusi, 2011, Autom..

Constitutive-Law Modeling of Microfilaments From Their Discrete-Structure Simulations—A Method Based on an Inverse Approach Applied to a Static Rod Model

Harish J. Palanthandalam-Madapusi, Sachin Goyal, H. Palanthandalam-Madapusi, 2010, 1002.2183.

Wind-field reconstruction from flight data using an unbiased minimum-variance unscented filter

Dennis S. Bernstein, Anouck Girard, Harish J. Palanthandalam-Madapusi, 2011 .

Magnetic-field estimation using measurements from a floating buoy

D.S. Bernstein, A.J. Ridley, H.J. Palanthandalam-Madapusi, 2008, 2008 American Control Conference.

Wind-field reconstruction using flight data

D.S. Bernstein, H.J. Palanthandalam-Madapusi, A. Girard, 2008, 2008 American Control Conference.

Clinical Facts Along With a Feedback Control Perspective Suggest That Increased Response Time Might Be the Cause of Parkinsonian Rest Tremor

Vrutangkumar V. Shah, Sachin Goyal, Vrutangkumar Shah, 2014, 1403.0296.

Linking Increased Response Time to Rest Tremors in Parkinson's Disease: A Feedback Control Perspective

Vrutangkumar V. Shah, H. Palanthandalam-Madapusi, Sachin Goyal, 2014 .

A Control-System Perspective on Parkinsonian Tremor with Implications on Diagnosis and Disease Monitoring

Vrutangkumar V. Shah, H. Palanthandalam-Madapusi, Sachin Goyal, 2014 .

Estimation of nonlinear sequence-dependent constitutive law for DNA molecules

Harish J. Palanthandalam-Madapusi, Sachin Goyal, H. Palanthandalam-Madapusi, 2008, 2008 47th IEEE Conference on Decision and Control.

Intermittent Control in Autonomous Vehicle Steering Control and Lane Keeping

Harish J. Palanthandalam-Madapusi, Ranjita Dash, H. Palanthandalam-Madapusi, 2021, AIR.

Matrix pencils and existence conditions for quadratic programming with a sign-indefinite quadratic equality constraint

Dennis S. Bernstein, Harish J. Palanthandalam-Madapusi, Tobin H. Van Pelt, 2009, J. Glob. Optim..

Recursive estimation of terrestrial magnetic and electric potentials

Dennis S. Bernstein, Harish J. Palanthandalam-Madapusi, Anthony M. D'Amato, 2008, 2008 47th IEEE Conference on Decision and Control.

Data-based model refinement for linear and hammerstein systems using subspace identification and adaptive disturbance rejection

E.L. Renk, D. Bernstein, H. Palanthandalam-Madapusi, 2005, Proceedings of 2005 IEEE Conference on Control Applications, 2005. CCA 2005..

Event-Driven Intermittent Control in Human Balancing on an Unstable and Unrestrained Platform

H. Palanthandalam-Madapusi, A. Rao, 2023, Journal of Medical and Biological Engineering.

Configuration and Force-field Aware Variable Impedance Control with Faster Re-learning

H. Palanthandalam-Madapusi, Shail V Jadav, 2023, J. Intell. Robotic Syst..

Variable Impedance Learning Control with Faster Re-learning and Reduced Initial Errors in Re-perturbation for Robots Operating in Divergent Force Fields

H. Palanthandalam-Madapusi, Shubhankar Riswadkar, Shail V Jadav, 2023, AIR.

Modeling structural deformations of DNA molecules using identification techniques

Harish J. Palanthandalam-Madapusi, Sachin Goyal, H. Palanthandalam-Madapusi, 2010, 49th IEEE Conference on Decision and Control (CDC).

When to Use Intermittent Control for Stabilization?

Harish J. Palanthandalam-Madapusi, Ranjita Dash, H. Palanthandalam-Madapusi, 2019, 2019 Sixth Indian Control Conference (ICC).

A Machine-Learning-Based Method to Detect Degradation of Motor Control Stability with Implications to Diagnosis of Presymptomatic Parkinson’s Disease: A Simulation Study

Vrutangkumar V. Shah, H. Palanthandalam-Madapusi, Sachin Goyal, 2023, Applied Sciences.

Approximate Input Reconstruction for Diagnosing Aircraft Control Surfaces

Dennis S. Bernstein, Elena Zattoni, Harish J. Palanthandalam-Madapusi, 2009 .

Fault detection for aircraft control surfaces using approximate input reconstruction

Dennis S. Bernstein, Harish J. Palanthandalam-Madapusi, Jin Yan, 2009, 2009 American Control Conference.

Delayed input and state observability

Harish J. Palanthandalam-Madapusi, Carlos Bielsa Campos, H. Palanthandalam-Madapusi, 2008, 2008 47th IEEE Conference on Decision and Control.

Gain-Constrained Kalman Filtering for Linear and Nonlinear Systems

Leonardo A. B. Tôrres, L. A. Aguirre, D. Bernstein, 2008, IEEE Transactions on Signal Processing.