Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 325 for “"mpc"”.
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Robust Updated MPC Schemes
We consider model predictive control (MPC) approaches to approximate the solution of infinite horizon optimal control problems (OCPs) for perturbed nonlinear discrete time systems. MPC provides an algorithmic synthesis of an approximately optimal feedback law by iteratively solving finite horizon …
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Succinct publicly auditable MPC with universal setup
… years, Multiparty computation as a service (MPCSaaS) is gaining popularity as a promising approach for building privacy-preserving communication systems. Although there has been significant improvement in the efficiency and robustness of such protocols, in this thesis, we argue that these …
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Contributions to distributed MPC: coalitional and learning approaches
… this thesis focus on the so-called coalitional MPC. This approach is characterized by the dynamic formation of groups of cooperative MPC agents (referred to as coalitions) and seeks to provide a performance close to the centralized one with lighter computations and communication demands. The …
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Efficiently Learning Robust, Adaptive Controllers from Robust Tube MPC
… such as those based on model predictive control (MPC), can achieve impressive performance at the cost of heavy online onboard computations. Strategies that efficiently learn robust and onboard-deployable policies from MPC have emerged, but they still lack fundamental adaptation capabilities. In …
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Data driven modeling and MPC Based control for Pathological Tremors
… application of model-based predictive control (MPC) for the full wrist exoskeleton designed in our lab for the alleviation of tremors. The main motivation for using MPC here relies on its ability to incorporate state and input constraints, which are crucial for the user's safety. We employ a …
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Lateral stability analysis and MPC tracking control for articulated heavy vehicles
… based on nonlinear model predictive control (NLMPC) for autonomous AHVs. With the proposed tracking-controller, the AHV tracks the predefined reference path and follows a planned forward speed scheme. Numerical simulation demonstrates the effectiveness of the proposed NLMPC tracking-controller.
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Permanent Bracing Design for MPC Wood Roof Truss Webs and Chords
The objectives of this research were to determine the required net lateral restraining force to brace j-webs or j-chords braced by one or more continuous lateral braces (CLB's), and to develop a methodology for permanent bracing design using a combination of lateral and diagonal braces. SAP2000 …
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Development of Adaptive and Factorized Neural Models for MPC of Industrial Systems
… RBF network models. Model predictive control (MPC) based on the factorized RBF model is applied to a non-linear proton exchange membrane fuel cell (PEMFC) stack system. The main contents include three parts: RBF model adaptation; model factorization and fast long-range prediction; and MPC for …
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Cloud-Based Model Predictive Control: Establishing a Fully Distributed Architecture for Nonlinear MPC
… decades, distributed model predictive control (MPC) has become an increasingly popular research topic. Distributed MPC constitutes a valuable tool, providing computationally efficient optimal control algorithms that can successfully account for the interactions of complex, interconnected …
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Approximate Explicit MPC and Closed-loop Stability: Analysis based on PWA Lyapunov Functions
Model Predictive Control (MPC) is the de facto standard in advanced industrial automation systems. There are two main formulations of the MPC algorithm: an implicit one and an explicit MPC one. The first requires an optimization problem to be solved on-line, which is the main limitation when …
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INDOOR ENVIRONMENTAL QUALITY (IEQ) AND BUILDING ENERGY OPTIMIZATION THROUGH MODEL PREDICTIVE CONTROL (MPC)
… approach to apply Model Predictive Control (MPC) to improve energy efficiency and indoor environmental quality in office buildings. Model predictive control is one of the advanced optimal control approaches that use models to predict the behavior of the process beyond the current time to …
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Temperature-dependent structures of heteroepitaxial metallo-phthalocyanine (Mpc, M = Cu, Fe) thin films on silver.
Metallo-phthalocyanines (MPcs, M = Cu, Fe) thin films were formed on Ag(111) surface by vapor deposition in ultra high vacuum (UHV). The morphology and structure of the MPcs were studied by scanning tunneling microscope (STM). Submonolayer (sub-ML) MPcs deposited at room temperature (RT) without …
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Revestimiento para edificación con propiedades bio-receptivas mejoradas: mortero MPC con subproductos industriales y briófito como especie colonizadora pionera
El aumento del interés por el urbanismo y la arquitectura sostenible ha sido significativo en los últimos años. La búsqueda de mayores superficies vegetales urbanas ejemplifica un modelo urbanístico que cada vez pretende ser menos invasivo con su entorno. Los sistemas de fachadas verdes que …
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Enhanced semiconductor carrier generation via microscale radiative transfer : MPC--an electric power finance instrument policy : interrelated innovations in emerging energy technologies
… MTPV and a related potential new energy policy MPC. MTPV is an electronic device concept for the conversion of heat or light to electricity using existing and emerging microelectronic technology. MPC is a financial instrument based energy policy which could both foster the emergence of new …
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Developments in the Mutant Prevention Concentration: A Novel Approach to Antimicrobial Susceptibility/Resistance Issues
The mutant prevention concentration (MPC) is defined as the lowest antimicrobial concentration required to inhibit the growth of the least susceptible bacterial cell based on an inoculum of ≥10⁹ colony forming units (CFUs). The current protocol for MPC testing is technically demanding and …
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Fast stochastic model predictive control under parametric uncertainties
Model predictive control (MPC) is widely applied in industry due to its ability to handle constraints explicitly Many processes in chemical engineering have a high number of states, but a relatively low number of inputs and outputs Input-output formulations of MPC employ process models, predicting …
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Adaptive robust model predictive control for nonlinear systems
… the performance of Model Predictive Control (MPC) in real-world scenarios. Robust MPC (RMPC) addresses this limitation by optimizing over control policies but at the expense of computational complexity. An alternative strategy, known as tube MPC, uses a robust controller (designed offline) to …
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Collaborative control strategies for robotic manipulation
… area of research using model predictive control (MPC). Whilst MPC saw its first use in the 1970s in the chemical industry, the use of MPC on fast, dynamic robotic systems is still an area requiring open to improvements, especially in terms of app the area of dynamic obstacle avoidance. Initially …
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Model Predictive Control Structures in Non-Minimal State Space.
… on the application of Model Predictive Control (MPC) methods, a very common technique for dealing with system constraints. It is motivated by earlier research into both NMSS and MPC systems, with features of both combined in this thesis to yield improved control. The main contribution lies in the …
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Thermal stability criteria embedded in avanced control systems for batch process intensification
… criteria within Model Predictive Control (MPC) frameworks results in advanced control systems capable of intensifying batch processes safely, hence resulting in shorter processing times. It is shown that embedding criterion $\mathcal{K}$ within MPC results in more efficient computational …
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