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- Title
- Hierarchical organization and adaptive dynamics in relational systems
- Creator
- Koplyay, Tom Michel, 1946-
- Date
- 1974
- Collection
- Electronic Theses & Dissertations
- Title
- Simultaneous system identification and disturbance estimation for linear time varying system with application to active suspension system
- Creator
- Ghiya, Dhruv Pramod
- Date
- 2019
- Collection
- Electronic Theses & Dissertations
- Description
-
"Various control techniques have been developed in order to improve the suspension performance since late 20th century. Controllers have been developed to reject the road disturbance in case of time invariant suspension systems. Although some of these researches give good results for non-linear suspension systems with parameter uncertainties, there is not much research done which treats a time varying system. I propose here an approach based on output tracking state feedback controller with...
Show more"Various control techniques have been developed in order to improve the suspension performance since late 20th century. Controllers have been developed to reject the road disturbance in case of time invariant suspension systems. Although some of these researches give good results for non-linear suspension systems with parameter uncertainties, there is not much research done which treats a time varying system. I propose here an approach based on output tracking state feedback controller with disturbance rejection for linear time varying system to tackle this problem in case of a quarter car suspension model. The proposed controller works even in case of completely unknown plants. This algorithm, combined with a pole placement controller, can be used to ensure ride comfort and to avoid damage to vehicle components. If a nominal model is known, it can also estimate time varying road disturbances which can be written as a summation of sinusoids and this estimate can be used as a preview to enhance the control performance of other vehicles. We compare the proposed algorithm with LQR tracking algorithm in simulation and superior performance is demonstrated. Bounds on the time varying parameters are derived in terms of norm of the states, within which the proposed algorithm is guaranteed to work."--Page ii.
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- Title
- Adaptive control of non-linear systems using neural networks
- Creator
- Chen, Fu-Chuang
- Date
- 1990
- Collection
- Electronic Theses & Dissertations
- Title
- A network feedback architecture for self adaptive applications in wireless networks
- Creator
- Singh, Nagendra S.
- Date
- 2004
- Collection
- Electronic Theses & Dissertations
- Title
- Blind separation of unknown sources in dynamic environments : theoretical formulation and micro-electronic implementation
- Creator
- Gharbi, Ammar B.
- Date
- 1996
- Collection
- Electronic Theses & Dissertations
- Title
- The dynamics of the e.-modification law and a new robust adaptive control in the presence of disturbances
- Creator
- Bai, Shi
- Date
- 1989
- Collection
- Electronic Theses & Dissertations
- Title
- Adaptive control subject to input constraints : maneuvering wheeled platforms using a holonomic mobile robot
- Creator
- Methil-Sudhakaran, Nandagopal
- Date
- 2009
- Collection
- Electronic Theses & Dissertations
- Title
- Indirect adaptive output feedback control
- Creator
- Seshagiri, Sridhar
- Date
- 1998
- Collection
- Electronic Theses & Dissertations
- Title
- Harnessing evolutionary computation for the design and generation of adaptive embedded controllers within the context of uncertainty
- Creator
- Byers, Chad Michael
- Date
- 2015
- Collection
- Electronic Theses & Dissertations
- Description
-
A critical challenge for the design of embedded controllers is incorporating desirable qualities such as robustness, fault tolerance, and adaptability into the control process in order to respond to dynamic environmental conditions. An embedded controller governs the execution of a task-specific system by monitoring information from its environment via sensors and producing an appropriate response through the system's actuators, often independent of any supervisory control. For a human...
Show moreA critical challenge for the design of embedded controllers is incorporating desirable qualities such as robustness, fault tolerance, and adaptability into the control process in order to respond to dynamic environmental conditions. An embedded controller governs the execution of a task-specific system by monitoring information from its environment via sensors and producing an appropriate response through the system's actuators, often independent of any supervisory control. For a human developer, identifying the set of all possible combinations of conditions a system might experience and designing a solution to accommodate this set is burdensome, costly, and often, infeasible. To alleviate this burden, a variety of techniques have been explored to automate the generation of embedded controller solutions. In this dissertation, we focus on the bio-inspired technique referred to as evolutionary computation where we harness evolution's power as a population-based, global search technique to build up good behavioral components. In this way, evolution naturally selects for these desirable qualities in order for a solution to remain competitive over time in the population. Often, these search techniques operate in the context of uncertainty where aspects of the (1) problem domain, (2) solution space, and (3) search process itself are subject to variation and change. To mitigate issues associated with uncertainty in the problem domain, we propose the digital enzyme, a biologically-inspired model that maps the complexity of both the environment and the system into the space of values rather than instructions. To address uncertainty in the solution space, we remove constraints in our initial digital enzyme model to allow the genome structure to be dynamic and open-ended, accommodating a wider range of evolved solution designs. Finally, to help explore the inherent uncertainty that exists in the search process, we uncover a hidden feature interaction present between the diversity-preserving search operator of a popular evolutionary algorithm and propose a new way to use niching as a means to mitigate its unwanted effects and bias on search.
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- Title
- Adaptive control of continuous flow grain dryers
- Creator
- Moreira, Rosana Galves
- Date
- 1989
- Collection
- Electronic Theses & Dissertations