Robust Adaptive Critic Neural Network Control of a Class of Nonlinear Dynamic Systems

提案编号：0621924提案标题：一类非线性动态系统的鲁棒自适应批判神经网络控制PI名称：Sarangapani，JagannathanPI研究所：密苏里大学罗拉分校这项研究的目的是利用近似动态规划为具有不确定性和扰动的非线性离散时间系统开发最优控制器。有监督的行动者-批评者神经网络结构将被用来求解由滚动时间最优控制公式产生的方程。这一研究的智能价值在于实现了对不确定非线性离散时间系统最优控制问题的统一控制器解，这些问题很重要，但很难解决。这一研究成果有望推动控制领域在鲁棒自适应控制领域的发展。此外，由于这些研究是基于具有基于神经网络的解结构的新的近似动态规划公式，因此预期结果将推进神经网络控制领域的技术水平。更广泛的影响这项研究的广泛影响将在燃料柔性发动机和火花点火发动机控制的应用领域。对这类问题的最佳控制解决方案可以导致发动机排放的大幅减少，同时提高效率和适应性。该提案计划的外联活动包括利用妇女和少数群体，并通过新设立的国家科学基金会工业/大学合作研究中心网站传播成果。该项目的成果将通过示范展示给该地区的高中，以培养对科学和工程的早期职业兴趣。

Proposal Number: 0621924Proposal Title: Robust Adaptive Critic Neural Network Control of a Class of Nonlinear Dynamic SystemsPI Name: Sarangapani, JagannathanPI Institution: University of Missouri-RollaThe objective of this research is to develop optimal controllers using approximate dynamic programming for nonlinear discrete-time systems with uncertainties and disturbances. Supervised actor-critic neural network architectures will be used to solve the equations resulting from the receding horizon optimal control formulation. Intellectual Merit Intellectual merit of this research lies in realizing unified controller solutions to optimal control problems for uncertain nonlinear discrete-time systems that are important, yet difficult to solve. Outcome of this research is expected to advance the field of control in the area of robust adaptive control. Additionally, expected results will advance the state of the art in the field of neural network control since these investigations are based on new approximate dynamic programming formulations with neural network based solution structures. Broader ImpactsBroader impact of this research will be in the applications areas of fuel flexible engine and spark ignition engine control. Optimal control solutions to such problems could lead to the drastic reductions in engine-out emissions while improving efficiency and adaptability. Outreach activities planned in this proposal include using women and minorities and disseminating results through the newly established NSF Industry/University Cooperative Research Center Site. The project results will be presented through demonstrations to the area high schools in order to create early career interest in science and engineering.