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Corrigendum to "8-Hydroxyquinoline based chitosan derived carbohydrate polymer as biodegradable and sustainable acid corrosion inhibitor for mild steel: Experimental and computational analyses" [Int. J. Biol. Macromol. 26 (1) (2020) 645-655]

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International journal of biological macromolecules 2023年 232卷 123744页

作者： M Rbaa M Fardioui Chandrabhan Verma Ashraf S Abousalem M Galai E E Ebenso T Guedira B Lakhrissi I Warad A Zarrouk Laboratory of Agro-Resources Polymers and Process Engineering Department of Chemistry Faculty of Science Ibn Tofail University PO Box 133 14000 Kenitra Morocco. Electronic address: mohamed.rbaa10@***. Laboratory of Materials Electrochemistry and Environment Ibn Tofail University Faculty of Sciences Kenitra Morocco. Center of Research Excellence in Corrosion Research Institute King Fahd University of Petroleum & Minerals Dhahran 31261 Saudi Arabia Department of Chemistry School of Chemical & Physical Sciences and Material Science Innovation & Modelling (MaSIM) Research Focus Area Faculty of Agriculture Science and Technology North-West University (Mafikeng Campus) Private Bag X2046Mmabatho 2735 South Africa. Chemistry Department Faculty of Sciences Mansoura University El-Mansoura 35516 Egypt Quality Control Laboratory Operations Department JOTUN Egypt. Laboratory of Materials Engineering and Environment: Application and Modeling Faculty of Sciences Ibn Tofail University PO Box 133 14000 Kénitra Morocco. Laboratory of Agro-Resources Polymers and Process Engineering Department of Chemistry Faculty of Science Ibn Tofail University PO Box 133 14000 Kenitra Morocco. Department of Chemistry and Earth Sciences PO Box 2713 Qatar University Doha Qatar. Laboratory of Materials Nanotechnology and Environment Mohammed V University Faculty of Sciences P.O. Box. 1014 Rabat Morocco. Electronic address: azarrouk@***.

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An optimal control problem in closed-loop neuroprostheses

An optimal control problem in closed-loop neuroprostheses

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IEEE Conference on Decision and control

作者： Gautam Kumar Vikram Aggarwal Nitish V. Thakor Marc H. Schieber Mayuresh V. Kothare Chemical Process Modeling and Control Center Department of Chemical Engineering Lehigh University Bethlehem PA USA Department of Biomedical Engineering Johns Hopkins University Baltimore MD USA Department of Neurobiology and Anatomy University of Rochester Medical Center Rochester NY USA

ISBN: (纸本)9781612848006;9781612848013

A control-theoretic study of complex systems such as closed-loop neural prostheses exhibits several challenges, from the design of an optimal feedback control problem to its solution. In this paper we study one such system, a closed-loop voluntary movement of a prosthetic finger using electrophysio-logical activities of a single cortical motor neuron. We develop an optimal feedback control problem in the nonlinear receding horizon based terminal set constraint framework. We analyze the feasibility and stability of the control problem. Further, we solve the control problem numerically by implementing a local optimum based nonconvex nonlinear programming algorithm. Finally, we study effects of visual and proprioceptive feedback pathways on the closed-loop system. Our results elucidate the importance of multiple feedback paths in designing a closed-loop neural prosthetic system.

关键词： Prosthetics Neurons Visualization Noise Optimization Torque Indexes

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Optimal parameter estimation of the Izhikevich single neuron model using experimental Inter-Spike Interval (ISI) data

Optimal parameter estimation of the Izhikevich single neuron...

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作者： Kumar, Gautam Aggarwal, Vikram Thakor, Nitish V. Schieber, Marc H. Kothare, Mayuresh V. Department of Chemical Engineering Chemical Process Modeling and Control Center Lehigh University Bethlehem PA 18015 United States Department of Biomedical Engineering Johns Hopkins University Baltimore MD 21205 United States Department of Neurobiology and Anatomy University of Rochester Medical Center Rochester NY 14627 United States

ISBN: (纸本)9781424474264

We propose to use the Izhikevich single neuron model to represent a motor cortex neuron for studying a control-theoretic perspective of a neuroprosthetic system. The problem of estimating model parameters is addressed when the only available data from intracortical recordings of a neuron are the Inter-Spike Intervals (ISIs). Non-linear constrained and unconstrained optimization problems are formulated to estimate model parameters as well as synaptic inputs using ISIs data. The primal-dual interior-point method is implemented to solve the constrained optimization problem. Reasonable model parameters are estimated by solving these optimization problems which may serve as a template for studying and developing a model of ensemble cortical neurons for neuroprosthesis applications. © 2010 AACC.

关键词： Neurons

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Optimal parameter estimation of the Izhikevich single neuron model using experimental inter-spike interval (ISI) data

Optimal parameter estimation of the Izhikevich single neuron...

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American control Conference

作者： Gautam Kumar Vikram Aggarwal Nitish V. Thakor Marc H. Schieber Mayuresh V. Kothare Chemical Process Modeling and Control Center Department of Chemical Engineering Lehigh University Bethlehem PA 18015 U.S.A. Department of Biomedical Engineering Johns Hopkins University Baltimore MD 21205 U.S.A. Department of Neurobiology and Anatomy University of Rochester Medical Center Rochester NY 14627 U.S.A.

ISBN: (纸本)9781424474264

关键词： Neurons model parameters optimal parameter UNCONSTRAINED OPTIMISATION Parameter estimation available data jigs(templates)

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A Study of a Gun-Turret Assembly in an Armored Tank using Model Predictive control

A Study of a Gun-Turret Assembly in an Armored Tank using Mo...

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2009 American control Conference (ACC 2009)

作者： Gautam Kumar Pradeep Y. Tiwari Vincent Marcopoli Mayuresh V. Kothare Chemical Process Modeling and Control Center Department of Chemical Engineering Lehigh University Bethlehem PA 18015 U.S.A. Process Dynamics and Optimization group Bayer Technology Services Americas 8500 W Bay Rd Baytown TX 77523 U.S.A. General Dynamics Land Systems Sterling Hts. MI 48310 U.S.A.

ISBN: (纸本)9781424445233

Operation of the gun/turret system in a military tank is limited by several constraints some of which are posed by obstacles existing on the vehicle's own platform. These mechanical constraints acting as hard constraints can cause serious damage to the whole assembly if violated. A control strategy developed for such a system must avoid possible collision of the gun/turret system with these obstacles. We propose to use a MPC based control strategy, due to its inherent ability to handle constraints, for the deck clearance problem and evaluate its performance under operating conditions for a linear model of the tank. Matlab~R based MPCtoolbox is used to set up the MPC calculations for the gun/turret system. Simulations are performed to investigate and compare the performance of the controller under various deck constraint limits. It is shown that MPC is effective in addressing both the stabilization and deck clearance objectives.

关键词： Maximum Allowable Concentration control strategy Tanks belted distributed model predictive control nonlinear model predictive control Constraint Model predictive control Predictive control linear models Addressing assemblies Operating conditions vehicle controllers

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Repetitive Model Predictive control using Linear Matrix Inequalities

Repetitive Model Predictive Control using Linear Matrix Ineq...

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2008 American control Conference (ACC), vol.4

作者： Pradeep Y. Tiwari Mayuresh V. Kothare Chemical Process Modeling and Control Center Department of Chemical Engineering Lehigh University Bethlehem PA USA

Repetitive systems can be characterized by two time variables, namely, the finite time within each repeating cycle and the cycle index, each embodying a distinct connotation of time. Conventional optimal control theory does not explicitly account for this two dimensional (2D) description of repetitive systems. We propose a new formulation for control of repetitive systems using Model Predictive control (MPC) that explicitly incorporates a 2D representation of the system. The proposed formulation uses a 2D Lyapunov function and the stability requirements are established along each time dimension of the system. The resulting controller synthesis problem is expressed in convex form using Linear Matrix Inequalities (LMIs). The approach allows explicit incorporation of input/output constraints in the controller design. Two examples illustrate the applicability of the proposed approach.

关键词： Predictive models Predictive control Linear matrix inequalities Radio control control systems control system synthesis Stability Economic forecasting chemical processes chemical industry

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Model predictive control of cyclic systems using linear matrix inequalities

Model predictive control of cyclic systems using linear matr...

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2007 AIChE Annual Meeting

作者： Tiwari, Pradeep Y. Kothare, Mayuresh V. Chemical Process Modeling and Control Center Department of Chemical Engineering Lehigh University Bethlehem PA 18015 United States

ISBN: (纸本)9780816910229

Cyclic processes can be characterized by two time variables, viz, the time within a cycle and the cycle index, each carrying a distinct connotation of time. Conventional optimal control theory does not explicitly account for these two dimensions (2D) of time that characterize cyclic systems. In this paper, we study the control of cyclic process using Model Predictive control (MPC). The proposed approach uses a 2D Lyapunov function and the stability requirements are established along each time dimension of the system. The resulting controller synthesis problem is expressed in convex form using Linear Matrix Inequalities (LMIs). The approach allows incorporation of input/output constraints in the proposed 2D MPC framework. An example of a cyclic process is presented to establish the applicability of the proposed approach.

关键词： Model predictive control

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Multivariable Anti-Windup controller Synthesis incorporating Multiple Convex Constraints

Multivariable Anti-Windup Controller Synthesis incorporating...

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American control Conference (ACC)

作者： Pradeep Y. Tiwari Eric F. Mulder Mayuresh V. Kothare Chemical Process Modeling and Control Center Department of Chemical Engineering Lehigh University Bethlehem PA USA Exxon-Mobil Chemical Baytown TX USA

We study the problem of multivariable anti-windup controller synthesis that incorporates trade-offs between unconstrained linear performance and constrained anti- windup performance. In our previous work [13], we presented a framework for simultaneous design of a linear output feedback controller and a static anti-windup compensator using Linear Matrix Inequalities (LMIs). This framework deviated from the conventional two step paradigm of anti-windup by proposing a one-step synthesis while still maintaining the anti-windup structure. However, the work in [13] did not provide conclusive demonstration of the efficacy of this formulation through realistic practical examples. In this paper, we further study the framework in [13] and explicitly demonstrate its capability in providing effective constrained anti-windup controller performance for two benchmark problems, viz. a vibration isolation table and a multivariable model for the longitudinal dynamics of an F8 aircraft.

关键词： chemical processes chemical engineering Aircraft Design methodology process control Cities and towns Output feedback Linear feedback control systems Linear matrix inequalities Vibration control

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Robust synthesis of constrained linear state feedback using LMIs and polyhedral invariant sets

Robust synthesis of constrained linear state feedback using ...

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American control Conference (ACC)

作者： B. Pluymers M.V. Kothare J.A.K. Suykens B. De Moor Department of Electrical Engineering ESAT-SCD-SISTA Katholieke Universiteit Leuven Belgium Chemical Process Modeling and Control Research Center Lehigh University Bethlehem PA USA

This paper deals with the synthesis of linear feedback controllers for constrained discrete-time linear systems with polytopic uncertainty description. This problem was initially tackled using ellipsoidal robust invariant sets in the paper by Kothare (Kothare et al., Automatica, 1996) leading to an LMI-based optimization problem. The contribution of this paper is twofold. First the aforementioned method is extended to also take into account mixed state/input constraints and cross-terms between states and inputs in the objective function. Secondly, polyhedral invariant sets (Pluymers et al., ACC, 2005) are introduced in the synthesis algorithm in order to eliminate conservative constraint handling. This results in a provably more optimal feedback controller. The resulting method can either be used on-line in a receding horizon fashion to obtain a robust constrained controller or off-line in order to obtain a feedback controller with a guaranteed feasible region for use in dual-mode or other robust model-based predictive control algorithms. A numerical example is given to illustrate the new algorithm

关键词： Robustness State feedback Adaptive control control system synthesis Robust control Linear systems Uncertainty Predictive models Predictive control Prediction algorithms

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Static anti-windup controller synthesis using simultaneous convex design

Static anti-windup controller synthesis using simultaneous c...

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05AIChE: 2005 AIChE Annual Meeting and Fall Showcase

作者： Tiwari, Pradeep Y. Mulder, Eric F. Kotharel, Mayuresh V. Chemical Process Modeling and Control Center Department of Chemical Engineering Lehigh University Bethlehem PA 18015 United States ExxonMobil Chemical 5000 Bayway Drive Baytown TX 77520

We present a method for the synthesis of a control law which incorporates both a traditional linear output-feedback controller as well as a static anti-windup compensator. Unlike traditional anti-windup controller design in which the linear controller and anti-windup compensator are designed sequentially, our method synthesizes all controller parameters simultaneously, thus providing a priori account of the effects of saturation on the closed-loop dynamics. Moreover, we derive sufficient conditions for the quadratic stability and (possibly) multiple performance bounds on the closed-loop dynamics such that the entire synthesis is cast as an optimization problem over linear matrix inequalitics (LMIs).

关键词： Feedback control

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