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"... Correlations in state space can cause suboptimal adaptation ..."
Optimal Feedback Control for Anthropomorphic Manipulators
"... Abstract — We study target reaching tasks of redundant anthropomorphic manipulators under the premise of minimal energy consumption and compliance during motion. We formulate this motor control problem in the framework of Optimal Feedback Control (OFC) by introducing a specific cost function that ac ..."
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Abstract — We study target reaching tasks of redundant anthropomorphic manipulators under the premise of minimal energy consumption and compliance during motion. We formulate this motor control problem in the framework of Optimal Feedback Control (OFC) by introducing a specific cost function
Review The coordination of movement: optimal feedback control and beyond
"... Optimal control theory and its more recent extension, optimal feedback control theory, provide valuable insights into the flexible and taskdependent control of movements. Here, we focus on the problem of coordination, defined as movements that involve multiple effectors (muscles, joints or limbs). ..."
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Optimal control theory and its more recent extension, optimal feedback control theory, provide valuable insights into the flexible and taskdependent control of movements. Here, we focus on the problem of coordination, defined as movements that involve multiple effectors (muscles, joints or limbs
Learned system dynamics for adaptive optimal feedback control
"... Optimal feedback control (OFC) has been proposed as an attractive movement generation strategy in goal reaching tasks for anthropomorphic manipulator systems. In contrast to classic open loop optimizers that produce “just ” a minimalcost trajectory with implicit resolution of kinematic and dynamic ..."
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Optimal feedback control (OFC) has been proposed as an attractive movement generation strategy in goal reaching tasks for anthropomorphic manipulator systems. In contrast to classic open loop optimizers that produce “just ” a minimalcost trajectory with implicit resolution of kinematic and dynamic
Nonclassical problems of optimal feedback control
, 2011
"... The paper is concerned with problems of optimal feedback control with “nonclassical” dynamics ˙x = f(t,x,u,Du), where the evolution of the state x depends also on the Jacobian matrix Du = (∂ui/∂xj) of the feedback control function u = u(t,x). Given a probability measure µ on the set of initial state ..."
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Cited by 2 (2 self)
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The paper is concerned with problems of optimal feedback control with “nonclassical” dynamics ˙x = f(t,x,u,Du), where the evolution of the state x depends also on the Jacobian matrix Du = (∂ui/∂xj) of the feedback control function u = u(t,x). Given a probability measure µ on the set of initial
Optimal Feedback Controls in Dynamic Stochastic Jobshops
, 1996
"... We consider a production planning problem for a general jobshop subject to breakdown and repair of machines and subject to lower and upper bound constraints on workinprocess. The machine capacities and demand processes are assumed to be finite state Markov chains. The problem is to choose the rate ..."
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solution to a dynamic programming equation together with a certain boundary condition. We provide an interpretation of the boundary condition, provide a verification theorem, and derive the optimal feedback control policy in terms of the directional derivatives of the value function. The results are proved
Optimal Feedback Control for ABR Service in ATM
 in Proceedings of the 1997 International Conference on Network Protocols (ICNP ’97
, 1997
"... The efficient support of data traffic over ATM networks requires congestion control, whose objectives include maximizing throughput, minimizing switch buffer requirement, and obtaining a fair bandwidth allocation. With available bit rate (ABR) service in ATM, congestion control is achieved by requir ..."
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Cited by 5 (1 self)
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previous paper, we design a congestion control algorithm that is provably stable and is optimal in the sense that it has the shortest possible transient response time. Moreover, our algorithm achieves fair bandwidth allocation among contending connections and maximizes network throughput. It also delivers
Optimal Feedback Control of Turbulent Channel Flow
, 1993
"... this report depends on measurements of flow velocities above the wall  this is not feasible in a practical implementation. The scheme will later be reduced to a more practical one involving only flow quantities which are most easily measured in an experimental rig. ..."
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Cited by 8 (3 self)
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this report depends on measurements of flow velocities above the wall  this is not feasible in a practical implementation. The scheme will later be reduced to a more practical one involving only flow quantities which are most easily measured in an experimental rig.
Direct Training Method For ContinuousTime Nonlinear Optimal Feedback Controller
"... : The solutions of most nonlinear optimal control problems are given in the form of openloop optimal control which is computed from a given fixed initial condition. Optimal feedback control can in principle be obtained by solving the corresponding HamiltonJacobiBellman (HJB) dynamic programming e ..."
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Cited by 3 (0 self)
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: The solutions of most nonlinear optimal control problems are given in the form of openloop optimal control which is computed from a given fixed initial condition. Optimal feedback control can in principle be obtained by solving the corresponding HamiltonJacobiBellman (HJB) dynamic programming
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