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The paper derives an iterative solution algorithm for H∞ control design that is based on policy iteration.
If "the last policy iteration didn't take," it's because anonymous sourcing was tolerated by editors, which was tolerated by section editors and so on up the chain of command.
monotonic policy iteration.
We call this 'synchronous' policy iteration.
The policy iteration (PI) algorithm is presented to solve the Hamilton Jacobi Bellman (HJB) equation.
Further more, under a certain condition, a policy iteration type algorithm can be developed.
Firstly, a model-based policy iteration algorithm is introduced to obtain the optimal control law.
Firstly, it is proved that the online policy iteration (PI) algorithm is equivalent to Newton׳s iteration.
Firstly, a model-free policy iteration algorithm is derived and its convergence is proved.
When we build the correct environment model, we can derive an optimum policy with the Policy Iteration Algorithm.
Abu-Khalaf et al. (2008) have used policy iteration approach together with neural networks.
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