{"title":"Inequality Constraints in Facility Location and Related Problems","authors":"Amber Srivastava, S. Salapaka","doi":"10.1109/ICC56513.2022.10093253","DOIUrl":"https://doi.org/10.1109/ICC56513.2022.10093253","url":null,"abstract":"In this paper we propose an annealing based framework to incorporate inequality constraints in optimization problems such as facility location, simultaneous facility location with path optimization, and the last mile delivery problem. These inequality constraints are used to model several application specific size and capacity limitations on the corresponding facilities, transportation paths and the service vehicles. We design our algorithms in such a way that it allows to (possibly) violate the constraints during the initial stages of the algorithm, so as to facilitate a thorough exploration of the solution space; as the algorithm proceeds, this violation (controlled through the annealing parameter) is gradually lowered till the solution converges in the feasible region of the optimization problem. We present simulations on various datasets that demonstrate the efficacy of our algorithm.","PeriodicalId":101654,"journal":{"name":"2022 Eighth Indian Control Conference (ICC)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124183041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Machine Learning Based Multi-Objective Surrogate Optimization of MSMPR Process","authors":"Ravi kiran Inapakurthi, S. Naik, K. Mitra","doi":"10.1109/ICC56513.2022.10093453","DOIUrl":"https://doi.org/10.1109/ICC56513.2022.10093453","url":null,"abstract":"Mixed-Suspension Mixed-Product Removal (MSMPR) process is a prominent unit in fine chemical industry as it helps in purification of the desired materials. Mathematical models of MSMPR process, when addressed through high fidelity approaches, are generally time expensive to simulate, rendering its optimization infeasible in real time fashion. While handling such cases, machine learning techniques can be explored as potential alternatives as they are faster to execute. Within the class of machine learning techniques, Support Vector Regressions stand apart due to the quadratic programming problem generated during their formulation leading to quicker and reliable solutions. For accurate approximation of such processes, a proper design of experiment-based approach is needed, which motivated us to propose a sample size estimation technique. Additionally, the MSMPR behavior is approximated using multiple kernel functions, assigning different priority to each input. The tuning parameters of SVR are optimized in an optimization framework using Non-Dominated Sorting Genetic Algorithm. Selecting a SVR model from a set of alternative solutions using Akaike Information Criterion, the SVR model performance is shown on the unseen data. Simulation studies indicate significant savings in computation time, when compared to the MSMPR model as well as the conventional SVR approach.","PeriodicalId":101654,"journal":{"name":"2022 Eighth Indian Control Conference (ICC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127314347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Robust Output Feedback Adaptive Control of Nuclear Reactor","authors":"P. S. Reddy, S. Shimjith, A. Tiwari, S. Kar","doi":"10.1109/ICC56513.2022.10093546","DOIUrl":"https://doi.org/10.1109/ICC56513.2022.10093546","url":null,"abstract":"This paper presents an output feedback Robust Model Reference Adaptive Control (RMRAC) for control of a Pressurized Water Reactor (PWR). The main advantage of the proposed method is that it does not need explicit model parameter information. The nonlinear model for reactor core dynamics is considered based on normalized point kinetics equations, with one equivalent delayed neutron group and temperature feedback from lumped fuel and coolant temperatures. The nonlinear equations are linearized and recast as a transfer function model to perform control studies. The ideal controller gains are computed by assuming that the numerator and denominator coefficients are known at nominal power. Thereafter, adaptive laws are designed to handle parametric uncertainties and external disturbances over the operating power levels. The impact of external disturbances in output power is minimized with the help of over parametrized controller structure. Additionally, $sigma$ modification is considered to make the adaptive laws robust. The stability of signals is verified through Lyapunov analysis and Barbalat's Lemma. The efficacy of the proposed controller is compared with the standard MRAC and the state feedback assisted controller (SFAC) through simulations.","PeriodicalId":101654,"journal":{"name":"2022 Eighth Indian Control Conference (ICC)","volume":"40 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129129398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Juhi Jaiswal, Pabitra Kumar Tunga, Nutan Kumar Tomar
{"title":"Functional ODE Observers for A Class of Descriptor Systems","authors":"Juhi Jaiswal, Pabitra Kumar Tunga, Nutan Kumar Tomar","doi":"10.1109/ICC56513.2022.10093626","DOIUrl":"https://doi.org/10.1109/ICC56513.2022.10093626","url":null,"abstract":"This paper addresses the problem of functional observer design for a class of linear time-invariant descriptor systems, which are not necessarily square. A new set of sufficient conditions for the existence of observers is established in terms of system coefficient matrices. The observer is realized by a system of ordinary differential equations (ODEs). The approach is purely algebraic, and a numerical example is provided to illustrate the design algorithm.","PeriodicalId":101654,"journal":{"name":"2022 Eighth Indian Control Conference (ICC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114061320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Right-of-Way-based Acceleration Velocity Obstacle","authors":"Balaji Gorantla, Satadal Ghosh","doi":"10.1109/ICC56513.2022.10093260","DOIUrl":"https://doi.org/10.1109/ICC56513.2022.10093260","url":null,"abstract":"A novel second -order online local reactive motion planner, named ‘Right-of-Way-based Acceleration Velocity Obstacle’ (R-AVO), which also incorporates right-of-way rules established by regulatory authorities, is developed in this paper. Following the developed algorithm, each unmanned vehicle (a.k.a. agent) in a multi-agent, dynamic environment can generate a collision-free, dynamically feasible, and goal-oriented trajectory. Moreover, the considered right-of-way rules enable an implicit coordination between the agents and aid in preventing any reciprocal oscillation in the planned trajectories of the agents. Extensive simulation studies are performed to illustrate the performance of the proposed algorithm in terms of relevant measures of effectiveness, which also indicate real-time implementability of the developed motion planning algorithm.","PeriodicalId":101654,"journal":{"name":"2022 Eighth Indian Control Conference (ICC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131553985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Model Predictive Control of Interacting Systems - Effect of Control Architecture*","authors":"Priti R. Sukhadeve, Sujit S. Jogwar","doi":"10.1109/ICC56513.2022.10093393","DOIUrl":"https://doi.org/10.1109/ICC56513.2022.10093393","url":null,"abstract":"Model predictive control (MPC) is one of the most commonly used advanced controllers for industrial applications. Implementation of MPC requires solving computationally expensive constrained optimization problem in a limited time interval. Decentralized and distributed MPC formulations aim at decomposing a large control problem into multiple small problems, which can be solved at a faster rate. The closed-loop performance of these formulations strongly depends on the decomposition (segregation of inputs and outputs into sub-controllers), which is typically done based on intuition. Obtaining an optimal decomposition for highly interacting systems is not trivial. In this paper, we apply graph theory-based approach to decompose a large control problem with an objective of improving the closed-loop performance of the resulting distributed and decentralized formulations. The control problem is first abstracted as a weighted digraph to transform the controller decomposition problem into a graph partition problem. Using the well-known concept of community structure, control architectures are synthesized for decentralized and distributed MPC. The proposed methodology is illustrated using an octuple tank system. Using a simulation case study, the closed-loop performance of various control architectures is compared and it is demonstrated that the control architectures derived using graph theory perform better than intuition-based architectures.","PeriodicalId":101654,"journal":{"name":"2022 Eighth Indian Control Conference (ICC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115503292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Observer-Based Input-to-State Stabilizing Control for Multiple Transmission Channels under Denial-of-Service*","authors":"A. Basu, Indrani Kar","doi":"10.1109/ICC56513.2022.10093432","DOIUrl":"https://doi.org/10.1109/ICC56513.2022.10093432","url":null,"abstract":"Interests in strengthening the security of cyber-physical systems have grown exponentially in the last decade. The control research community has perceived that the feed-back loop embedded in integrated systems can be affected once attackers accomplish violations of the cyber-physical protection and detection systems. The resilient control problem for cyber-physical systems with numerous transmission channels under Denial-of-Service (DoS) is investigated in this article. First, a set of Luenberger-like observers are designed considering different transmission channels under DoS. A switching topology is developed to switch observers according to the situation of Multi-Channel DoS (MCDoS). Then a resilient control strategy is designed for the Full-Scale DoS (FSDoS). We characterize the frequency of switching observers for MCDoS and the frequency and duration of FSDoS, retaining the closed-loop system's Input-to-State Stability (ISS) in the presence of disturbance. A proper schedule of the transmission periods is developed in order to accomplish ISS.","PeriodicalId":101654,"journal":{"name":"2022 Eighth Indian Control Conference (ICC)","volume":"194 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115728451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An EPANET - MATLAB Framework for Quality and Quantity Management in Intermittent Water Supply Network","authors":"Aadil Bharucha, A. Maheshwari, R. Gudi","doi":"10.1109/ICC56513.2022.10093444","DOIUrl":"https://doi.org/10.1109/ICC56513.2022.10093444","url":null,"abstract":"In most developing countries while water supply is intermittent, maintaining the adequate water quality in such a network is a major challenge due to presence of supply and non-supply hours schedules as well as pressure transients during startup and shut down of the water supply. Water quality analysis tools and optimization techniques need to be modified and adapted for sustainable water quality and quantity management. This study combines the well-known EPANET and MATLAB platforms to develop a framework for generating optimal disinfectant dosage policy in an intermittent water network, while maintaining the residual chlorine concentration within the acceptable global drinking water standards throughout the network all time. The aim of this paper is to develop a framework to study the effect of network characteristics and evolve effective policies for water management in such water distribution network.","PeriodicalId":101654,"journal":{"name":"2022 Eighth Indian Control Conference (ICC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115735352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"RISE based Output Feedback Controller for Active Flutter Suppression of 2D Aerofoil","authors":"Balraj Sharma, Pooja Agrawal, A. Misra","doi":"10.1109/ICC56513.2022.10093649","DOIUrl":"https://doi.org/10.1109/ICC56513.2022.10093649","url":null,"abstract":"In this paper, Robust Integral of Sign of Error (RISE) based output feedback controller for active flutter control of a two dimensional aerofoil is designed. The aeroelastic model has two degree of freedom i.e. plunge and pitch. For developing the output feedback controller, the state space model of aerofoil has been first transformed into controllable canonical form and then RISE controller has been implemented. A significant feature of the proposed controller is that accurate model of plant as well as any knowledge of external disturbance or parametric uncertainty is not required for controller design. Stability of the closed loop aeroelastic system has been estab-lished. Comparative study of the proposed controller is done in view of variation in free stream velocity, parametric uncertainty and external disturbances. Results demonstrate the efficacy of the proposed controller by enhancing the flutter boundary of closed loop system by 38% more than critical flutter speed.","PeriodicalId":101654,"journal":{"name":"2022 Eighth Indian Control Conference (ICC)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123284868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Stabilization of a class of infinite-dimensional systems subjected to unknown matched disturbances","authors":"Bhagyashri Gurjar, S. Chattopadhyay, V. Natarajan","doi":"10.1109/ICC56513.2022.10093442","DOIUrl":"https://doi.org/10.1109/ICC56513.2022.10093442","url":null,"abstract":"In this paper, we consider the problem of constructing an output-feedback controller for stabilizing an un-stable linear PDE system with bounded control and observation operators driven by an unknown disturbance. The disturbance is matched with the input of the PDE system and its derivative is assumed to be bounded. Under a smoothness assumption on the observation operator and an observability matching condition, we first develop a linear observer with disturbance decoupling for state estimation and then we develop a sliding mode observer for estimating the disturbance. Using the estimated state and disturbance we implement a state-feedback control law which guarantees the exponential decay of the state of the PDE system to zero for all initial states. Our approach assumes certain prior knowledge regarding the stabilization and estimation of the PDE system in the absence of disturbances. Our contribution lies in performing stabilization (convergence of state to zero) and estimation in the presence of unknown disturbances. We illustrate our controller design approach in simulations using an unstable 1D heat equation.","PeriodicalId":101654,"journal":{"name":"2022 Eighth Indian Control Conference (ICC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131662166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}