Nonlinear optimal control problems are problems involving real world situations where the objectives are the maximization of the return from, or the minimization of the cost of, the operation of physical, social, and economic processes. Algorithms used to solve these problems are expected to satisfy the objectives consistently and since time translates into cost, must also be fast. An algorithm that definitely can satisfy the objectives is the Dynamic Integrated Systems Optimization and Parameter Estimation (DISOPE) algorithm. However, this algorithm has an inherent problem of slow convergence due to its gradient descent type updating mechanism. Hence, the purpose of this study is to overcome this convergence problem by modifying the mechan...
The sensitivities of the convergence characteristics of the methods to initially assumed parameters ...
The paper presents a gradient-based algorithm for optimal control of nonlinear multivariable systems...
Optimization-based controllers are advanced control systems whose mechanism of determining control i...
mation (DISOPE) algorithm is an algorithm for solving nonlinear optimal con-trol problems and is of ...
An algorithm for solving nonlinear discrete time optimal control problems with model-reality differe...
DISOPE is a technique for solving optimal control problems where there are differences in structure ...
In this paper, we focus on a method based on optimal control to address the optimization problem. Th...
This thesis is focused on state-of-art numerical optimization methods for nonlinear (discrete-time) ...
There are a number of algorithms that can be categorized as gradient based. One such algorithm is th...
An algorithm is presented for solution of dynamic optimization problems which are nonlinear in the s...
The main concern of this thesis is to develop and advance the knowledge of new hierarchical algorith...
Optimal control is seen by researchers from a different perspective than that from which the industr...
grantor: University of TorontoThis thesis consists of two main parts. In the first part, t...
Optimal control is seen by researchers from a different perspective than that from which the industr...
In nonlinear model predictive control (NMPC), a control task is approached by repeatedly solving an ...
The sensitivities of the convergence characteristics of the methods to initially assumed parameters ...
The paper presents a gradient-based algorithm for optimal control of nonlinear multivariable systems...
Optimization-based controllers are advanced control systems whose mechanism of determining control i...
mation (DISOPE) algorithm is an algorithm for solving nonlinear optimal con-trol problems and is of ...
An algorithm for solving nonlinear discrete time optimal control problems with model-reality differe...
DISOPE is a technique for solving optimal control problems where there are differences in structure ...
In this paper, we focus on a method based on optimal control to address the optimization problem. Th...
This thesis is focused on state-of-art numerical optimization methods for nonlinear (discrete-time) ...
There are a number of algorithms that can be categorized as gradient based. One such algorithm is th...
An algorithm is presented for solution of dynamic optimization problems which are nonlinear in the s...
The main concern of this thesis is to develop and advance the knowledge of new hierarchical algorith...
Optimal control is seen by researchers from a different perspective than that from which the industr...
grantor: University of TorontoThis thesis consists of two main parts. In the first part, t...
Optimal control is seen by researchers from a different perspective than that from which the industr...
In nonlinear model predictive control (NMPC), a control task is approached by repeatedly solving an ...
The sensitivities of the convergence characteristics of the methods to initially assumed parameters ...
The paper presents a gradient-based algorithm for optimal control of nonlinear multivariable systems...
Optimization-based controllers are advanced control systems whose mechanism of determining control i...